Relevant bibliographies by topics / Biometric description

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Biometric description'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Biometric description"

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Szűcs, Kata Rebeka, Arnold Őszi, and Tibor Kovács. "Mobile Biometrics and their Risks." Hadmérnök 15, no. 4 (2020): 15–28. http://dx.doi.org/10.32567/hm.2020.4.2.

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The present article aims to introduce the ways of secure access control, with a special emphasis on biometric solutions on mobile devices. Apart from secure biometric data storage, which is also a very important aspect of this topic, there are several other types of threats. On the following pages we provide a short description of the possible risks of biometric systems. In order to understand the current status and attitude towards biometrics, we introduce our own survey as well.
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Malčík, Dominik, and Martin Drahanský. "Anatomy of Biometric Passports." Journal of Biomedicine and Biotechnology 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/490362.

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Travelling is becoming available for more and more people. Millions of people are on a way every day. That is why a better control over global human transfer and a more reliable identity check is desired. A recent trend in a field of personal identification documents is to use RFID (Radio Frequency Identification) technology and biometrics, especially (but not only) in passports. This paper provides an insight into the electronic passports (also called e-passport or ePassport) implementation chosen in the Czech Republic. Such a summary is needed for further studies of biometric passports implementation security and biometric passports analysis. A separate description of the Czech solution is a prerequisite for a planned analysis, because of the uniqueness of each implementation. (Each country can choose the implementation details within a range specified by the ICAO (International Civil Aviation Organisation); moreover, specific security mechanisms are optional and can be omitted).
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Santos, Jania Claudia Camilo dos, Dayane Mércia Ribeiro Silva, Renato Nunes Costa, Carlos Humberto Da Silva, Wilton Da Silva Santos, Flávia De Barros Prado Moura, and José Vieira Silva. "ASPECTOS BIOMÉTRICOS E MORFOLÓGICOS DE FRUTOS E SEMENTES DE Schinopsis brasiliensis." Nativa 6, no. 3 (May 22, 2018): 219. http://dx.doi.org/10.31413/nativa.v6i3.4709.

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O objetivo deste trabalho foi avaliar a biometria e morfologia de S. brasiliensis, visando identificar características que auxiliem no uso e propagação dessa espécie da Caatinga em programa de restauração ambiental. Os dados biométricos foram obtidos a partir de 1000 frutos e 1000 sementes. Foram medidos o comprimento, largura, espessura e massa de frutos e sementes. Os dados foram ajustados utilizando a estatística descritiva e teste de Shapiro-Wilk. Para a descrição morfológica dos frutos, foram relatadas observações sobre os aspectos externos e internos do pericarpo, consistência da casca, coloração, brilho, forma e deiscência. Já as descrições morfológicas externa das sementes foram feitas observações sobre consistência, coloração, textura, forma e hilo. A caracterização biométrica de frutos e sementes de S. brasiliensis, possibilitou verificar a variação existente entre as classes biométricas através de histograma de frequência. Os frutos apresentam morfologia completa, em forma de sâmara, indeiscente e monospérmico. As sementes foram caracterizadas em oblongas e reniformes, envolvidas pelo endocarpo, resultando no pirênio, sendo esta a camada que dificulta o processo de embebição de água, a qual antecede a germinação, no entanto, esta camada é capaz de promover maior longevidade as sementes.Palavras-chave: análises biométricas, características morfológicas, sementes florestais, Caatinga. BIOMETRIC AND MORPHOLOGICAL ASPECTS OF THE FRUITS AND SEEDS OF SCHINOPSIS BRASILIENSIS ABSTRACT:The objective of this work was to evaluate the biometry and morphology of S. brasiliensis, aiming to identify traits that help in the use and propagation of this Caatinga species in an environmental restoration program. Biometric data were obtained from 1000 fruits and 1000 seeds. The length, width, thickness and mass of fruits and seeds were measured. Data were adjusted using descriptive statistics and Shapiro-Wilk test. For the fruits morphological description, observations on the external and internal traits of the pericarp, peel consistency, coloration, brightness, shape and dehiscence were reported. Already the external morphological descriptions of the seeds were made on consistency, color, texture, shape and thread. The biometric characterization of fruits and seeds of S. brasiliensis made it possible to verify the variation between the biometric classes through frequency histogram. The fruits presented complete morphology, in the form of a samara, indiscriminate and monospermic. The seeds were characterized in oblong and reniform, surrounded by the endocarp, resulting in the pyrenium, which is the layer that hinders the process of water imbibition, which precedes the germination, however this layer is able to promote greater longevity of the seeds.Keywords: biometric analyzes, morphological traits, forest seeds, Caatinga. DOI:
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Vakalis, Ioannis. "Privacy and Biometric Passports." Scientific World JOURNAL 11 (2011): 478–89. http://dx.doi.org/10.1100/tsw.2011.49.

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This work deals with privacy implications and threats that can emerge with the large-scale use of electronic biometric documents, such the recently introduced electronic passport (e-Passport). A brief introduction to privacy and personal data protection is followed by a presentation of the technical characteristics of the e-Passport. The description includes the digital data structure, and the communication and reading mechanisms of the e-Passport, indicating the possible points and methods of attack.
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Al-Janabi, Sufyan T., Ali J. Dawood, and Ekram Habeeb Hassan. "Development and Simulation of Enhanced Key Management Scheme for WBANs." Journal of University of Human Development 1, no. 2 (April 30, 2015): 280. http://dx.doi.org/10.21928/juhd.v1n2y2015.pp280-287.

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The design and deployment of Wireless Body Area Networks (WBANs) have recently resulted from the use of sensors to measure the biometrics and movements of the human body. The development of such networks is imperative for modern telemedicine and e-health. Since WBANs are dealing with very sensitive information (i.e., medical data which has a direct impact on human life), security is an essential part of WBANs design. Indeed, key management plays pivotal role in ensuring security requirements in WBAN. In this paper, an enhanced version of a biometric-based distributed key management scheme is introduced. This scheme is designed for use in WBAN scenarios. It makes use of key refreshment schedules and distributes key management responsibility among all nodes in a WBAN in a fair manner. The scheme supports the use of biometric measurements to generate symmetric keys in WBANs via facilitating the work of biometric random number generators that can extract a random bit sequence from biological data to generate symmetric keys. A general description of the development of this scheme is given along with all phases of its operation. Furthermore, simulation results are presented with security analysis related to the resistance of the proposed scheme against some possible attacks.
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Li, Shuyi, Haigang Zhang, Yihua Shi, and Jinfeng Yang. "Novel Local Coding Algorithm for Finger Multimodal Feature Description and Recognition." Sensors 19, no. 9 (May 13, 2019): 2213. http://dx.doi.org/10.3390/s19092213.

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Recently, finger-based biometrics, including fingerprint (FP), finger-vein (FV) and finger-knuckle-print (FKP) with high convenience and user friendliness, have attracted much attention for personal identification. The features expression which is insensitive to illumination and pose variation are beneficial for finger trimodal recognition performance improvement. Therefore, exploring suitable method of reliable feature description is of great significance for developing finger-based biometric recognition system. In this paper, we first propose a correction approach for dealing with the pose inconsistency among the finger trimodal images, and then introduce a novel local coding-based feature expression method to further implement feature fusion of FP, FV, and FKP traits. First, for the coding scheme a bank of oriented Gabor filters is used for direction feature enhancement in finger images. Then, a generalized symmetric local graph structure (GSLGS) is developed to fully express the position and orientation relationships among neighborhood pixels. Experimental results on our own-built finger trimodal database show that the proposed coding-based approach achieves excellent performance in improving the matching accuracy and recognition efficiency.
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Fenn, K., Y. Malhi, M. Morecroft, C. Lloyd, and M. Thomas. "Comprehensive description of the carbon cycle of an ancient temperate broadleaved woodland." Biogeosciences Discussions 7, no. 3 (May 21, 2010): 3735–63. http://dx.doi.org/10.5194/bgd-7-3735-2010.

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Abstract. There exist very few comprehensive descriptions of the productivity and carbon cycling of forest ecosystems. Here we present a description of the components of annual Net Primary Productivity (NPP), Gross Primary Productivity (GPP), autotrophic and heterotrophic respiration, and ecosystem respiration (RECO) for a temperate mixed deciduous woodland at Wytham Woods in southern Britain, calculated using "bottom-up" biometric and chamber measurements (leaf and wood production and soil and stem respiration). These are compared with estimates of these parameters from eddy-covariance measurements made at the same site. NPP was estimated as 7.0±0.8 Mg C ha−1 yr−1, and GPP as 20.3+1.0 Mg C ha−1 yr−1, a value which closely matched to eddy covariance-derived GPP value of 21.1 Mg C ha−1 yr−1. Annual RECO was calculated as 18.9±1.7 Mg C ha−1 yr−1, close to the eddy covariance value of 19.8 Mg C ha−1 yr−1; the seasonal cycle of biometric and eddy covariance RECO estimates also closely matched. The consistency between eddy covariance and biometric measurements substantially strengthens the confidence we attach to each as alternative indicators of site carbon dynamics, and permits an integrated perspective of the ecosystem carbon cycle. 37% of NPP was allocated below ground, and the ecosystem carbon use efficiency (CUE, = NPP/GPP) calculated to be 0.35±0.05, lower than reported for many temperate broadleaved sites.
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Saggese, Steven, Yunting Zhao, Tom Kalisky, Courtney Avery, Deborah Forster, Lilia Edith Duarte-Vera, Lucila Alejandra Almada-Salazar, et al. "Biometric identification of newborns and infants by non-contact fingerprinting: lessons learned." Gates Open Research 3 (May 29, 2019): 1477. http://dx.doi.org/10.12688/gatesopenres.12914.1.

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Despite years of effort, reliable biometric identification of newborns and young children has remained elusive. In this paper, we review the importance of trusted identification methods, the biometric landscape for infants and adults, barriers and success stories, and we discuss specific failure modes particular to young children. We then describe our approach to infant identification using non-contact optical imaging of fingerprints. We detail our technology development history, including Human-Centered Design methods, various iterations of our platform, and how these iterations addressed failure modes in the identification process. We close with a brief description of our clinical trial of newborns and infants at an urban hospital in Mexico and report preliminary results that show high accuracy, with matching rates consistent with acceptable field-performance for reliable biometric identification in large populations.
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Saggese, Steven, Yunting Zhao, Tom Kalisky, Courtney Avery, Deborah Forster, Lilia Edith Duarte-Vera, Lucila Alejandra Almada-Salazar, et al. "Biometric recognition of newborns and infants by non-contact fingerprinting: lessons learned." Gates Open Research 3 (November 5, 2019): 1477. http://dx.doi.org/10.12688/gatesopenres.12914.2.

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Despite years of effort, reliable biometric identification of newborns and young children has remained elusive. In this paper, we review the importance of trusted identification methods, the biometric landscape for infants and adults, barriers and success stories, and we discuss specific failure modes particular to young children. We then describe our approach to infant identification using non-contact optical imaging of fingerprints. We detail our technology development history, including Human-Centered Design methods, various iterations of our platform, and how these iterations addressed failure modes in the identification process. We close with a brief description of our clinical trial of newborns and infants at an urban hospital in Mexico and report preliminary results that show high accuracy, with matching rates consistent with acceptable field-performance for reliable biometric identification in large populations.
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Castro-Ortega, Raúl, Carina Toxqui-Quitl, Alfonso Padilla-Vivanco, Jose Francisco Solís-Villarreal, and Eber Enrique Orozco-Guillén. "Zernike moment invariants for hand vein pattern description from raw biometric data." Journal of Electronic Imaging 28, no. 05 (October 15, 2019): 1. http://dx.doi.org/10.1117/1.jei.28.5.053019.

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Dissertations / Theses on the topic "Biometric description"

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Ramos, Leticia de Andrade. "Topografia e tomografia da córnea utilizando sistema duplo scheimpflug e discos de plácido em gatos." Botucatu, 2019. http://hdl.handle.net/11449/180836.

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Orientador: Cláudia Valéria Seullner Brandão
Resumo: Os gatos possuem papel de destaque como animais de estimação, assim como em estudos oftalmológicos comparativos. Pelo conhecimento dos autores, até o momento, a avaliação de bulbo de gatos utilizando tomógrafos e topógrafo associados, por meio dos sistemas de câmeras Scheimpflug duplas e um disco Plácido, não foi descrita na literatura. O objetivo deste estudo foi analisar a córnea em gatos considerando as curvaturas anterior e posterior, o poder total e espessura da córnea pelo sistema de duplo Scheimpflug e disco de plácido. Na ceratometria anterior (SimK) verificou-se valores de 38,37 ± 0,83D, ceratometria posterior -4,89±0,34D e poder corneal total médio 38,04 ± 0,94D. Quanto à espessura corneal central foi obtido valor médio de 617,34 ± 53,38 μm, superior aos encontrados em outros trabalhos utilizando a paquimetria ultrassônica. A utilização do sistema duplo Scheimpflug e disco de plácido foi efetiva em gatos domésticos e permitiu a obtenção de valores ainda não descritos na literatura para a espécie, tais como ceratometria anterior nas zonas da córnea, ceratometria corneal posterior, poder corneal total, volume corneal.
Abstract: Cats have an important role as pets and in ophthalmologic comparative studies. To the autors’ knowledge, this is the first study that evaluates cornea of cats using a device that combine tomography and topography, through dual Scheimpflug cameras and a Placid disc. The aim of this study was to evaluate anterior and posterior keratometry, total corneal power and pachymetry using dual Scheimpflug and Placid disc system. Concerning anterior keratometry (SimK), the value obtained was 38,37 ± 0,83D, posterior keratometry -4,89±0,34D and total corneal power 38,04 ± 0,94D. Regarding the pachymetry, the mean CCT value obtained was 617,34 ± 53,38 μm, superior to those find in other studies using ultrasonic pachymetry. The use of dual Scheimpflug and Placid disc system was effective in domestic cats and enabled the description of values that have not been described in the literature in felines yet, such as anterior keratomemetry in the corneal zones, posterior keratommetry, total corneal power, corneal volume.
Mestre
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Perlin, Hugo Alberto. "A contribution to semantic description of images and videos: an application of soft biometrics." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1808.

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Fundação Araucária
Os seres humanos possuem uma alta capacidade de extrair informações de dados visuais, adquiridos por meio da visão. Através de um processo de aprendizado, que se inicia ao nascer e continua ao longo da vida, a interpretação de imagens passa a ser feita de maneira quase instintiva. Em um relance, uma pessoa consegue facilmente descrever com certa precisão os componentes principais que compõem uma determinada cena. De maneira geral, isto é feito extraindo-se características de baixo nível, como arestas, texturas e formas, e associando-as com significados de alto nível. Ou seja, realiza-se uma descrição semântica desta cena. Um exemplo disto é a capacidade de reconhecer outras pessoas e descrever suas características físicas e comportamentais. A área de visão computacional tem como principal objetivo desenvolver métodos capazes de realizar interpretação visual com desempenho similar aos humanos. Estes métodos englobam conhecimento de aprendizado de máquina e processamento de imagens. Esta tese tem como objetivo propor métodos de visão computacional que permitam a extração de informações de alto nível na forma de biometrias leves. Estas biometrias representam características inerentes ao corpo e ao comportamento humano. Porém, não permitem a identificação unívoca de uma pessoa. Para tanto, este problema foi abordado de duas formas, aprendizado não-supervisionado e supervisionado. A primeira busca agrupar as imagens através de um processo de aprendizado automático de extração de características, empregando técnicas de convoluções, computação evolucionária e clusterização. Nesta abordagem as imagens utilizadas contém faces e pessoas. A segunda abordagem emprega redes neurais convolucionais, que possuem a capacidade de operar sobre imagens cruas, aprendendo tanto o processo de extração de características quanto a classificação. Aqui as imagens são classificadas de acordo com gênero e roupas, divididas em parte superior e inferior do corpo humano. A primeira abordagem, quando testada com diferentes bancos de imagens, obteve uma acurácia de aproximadamente 80% para faces e não-faces e 70% para pessoas e não-pessoas. A segunda, testada utilizando imagens e vídeos, obteve uma acurácia de cerca de 70% para gênero, 80% para roupas da parte superior e 90% para a parte inferior. Os resultados destes estudos de casos, mostram que os métodos propostos são promissores, permitindo a realização de anotação automática de informações de alto nível. Isto abre possibilidades para o desenvolvimento de aplicações em diversas áreas, como busca de imagens e vídeos baseada em conteúdo e segurança por vídeo, reduzindo o esforço humano nas tarefas de anotação manual e monitoramento.
Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.
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Chihaoui, Takwa. "Système d'identification de personnes basé sur la rétine." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1145/document.

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Notre travail s’inscrit dans le cadre de la biométrie par la rétine. La rétine est la couche sensorielle de l’œil, elle présente une texture riche et unique même chez les jumeaux. Ses propriétés ont fait de la biométrie par la rétine un axe de recherche actif. En effet, de nombreuses méthodes ont été proposées pour les différentes étapes de la méthode biométrique allant du prétraitement de l’image rétinienne à son analyse, en passant par sa caractérisation, afin d’identifier et authentifier un individu. Nous nous intéressons dans ces travaux de thèse, à l’étude, la conception, le développement et l’évaluation d’une nouvelle méthode biométrique basée sur la rétine. Notre première contribution réside dans la conception d’une méthode d’analyse d’image rétinienne saine et pathologique, suivie d’une sélection d’une région d’intérêt autour du disque optique. Cette méthode améliore la qualité de l’image rétinienne et extrait une région d’intérêt la plus stable de la rétine afin de maintenir une densité d’information satisfaisante, pour assurer une meilleure qualité de reconnaissance. Notre deuxième contribution porte sur la proposition d’une nouvelle méthode d’extraction de caractéristiques locales basée sur le descripteur standard SIFT. Elle applique une nouvelle approche reposant sur la suppression des points d’intérêt non informatifs extraits par le descripteur standard SIFT. Cette nouvelle méthode d’extraction des caractéristiques locales réduit le nombre des points d’intérêt redondants tout en maintenant la qualité de la description. Nous avons validé, la méthode biométrique proposée sur différentes bases comprenant des images saines et pathologiques. Les résultats obtenus montrent des performances encourageantes. Ces résultats indiquent, que la méthode que nous avons proposée, localise correctement la région d’intérêt rétinienne. En mode identification, un taux d’identification correcte d’environ 99.8% est atteint. En mode vérification, nous avons obtenu un taux FRR de 0.12% quant aux taux FAR et EER (erreur), ils sont de 0%. L’étude comparative a montré que notre méthode est plus discriminative que d’autres méthodes de l’état de l’art, notamment celles basées sur la segmentation et l’extraction de l’arbre vasculaire
Our work is part of the retina biometrics. The retina is the sensory layer of the eye; it has a rich and unique texture even in twins. Its properties have made the retina biometrics an active research area. Indeed, numerous methods have been proposed for the various stages of the biometric method, from pretreatment of the retinal image to its analysis, through its characterization, in order to identify and authenticate an individual. We are interested in this work in these thesis works, the study, design, development and evaluation of a new biometric method based on the retina. This thesis presents our contributions for each stage of the proposed biometric method. Our first contribution lies in the proposition of a healthy and pathological retinal image analysis method, followed by a selection of a region of interest around the optical disc. This method improves the quality of the retinal image and extracts a more stable region of interest from the retina to maintain a satisfactory information density, to ensure a better quality of recognition. Our second contribution consists in proposing a new method for extracting local characteristics based on the standard SIFT descriptor. It applies a new method based on the removal of non-informative points of interest extracted by the standard SIFT descriptor. This new method of extracting local features reduces the number of redundant points of interest while maintaining the quality of the description. We validated, the proposed biometric method on different bases including healthy and pathological images. This biometric method has yielded encouraging results on healthy and pathological retinal images. The results obtained show encouraging performances. These results indicate that the method we have proposed, correctly locates the retinal region of interest. In identification mode, a correct identification rate of approximately 99.8% is reached. In verification mode, we obtained 0.12% as FRR error rate and 0% for the FAR and EER error rates. The comparative study showed that our method is more discriminative than other state-of-the-art methods, especially those based on segmentation and extraction of the vascular tree
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Antipov, Grigory. "Apprentissage profond pour la description sémantique des traits visuels humains." Thesis, Paris, ENST, 2017. http://www.theses.fr/2017ENST0071/document.

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Les progrès récents des réseaux de neurones artificiels (plus connus sous le nom d'apprentissage profond) ont permis d'améliorer l’état de l’art dans plusieurs domaines de la vision par ordinateur. Dans cette thèse, nous étudions des techniques d'apprentissage profond dans le cadre de l’analyse du genre et de l’âge à partir du visage humain. En particulier, deux problèmes complémentaires sont considérés : (1) la prédiction du genre et de l’âge, et (2) la synthèse et l’édition du genre et de l’âge.D’abord, nous effectuons une étude détaillée qui permet d’établir une liste de principes pour la conception et l’apprentissage des réseaux de neurones convolutifs (CNNs) pour la classification du genre et l’estimation de l’âge. Ainsi, nous obtenons les CNNs les plus performants de l’état de l’art. De plus, ces modèles nous ont permis de remporter une compétition internationale sur l’estimation de l’âge apparent. Nos meilleurs CNNs obtiennent une précision moyenne de 98.7% pour la classification du genre et une erreur moyenne de 4.26 ans pour l’estimation de l’âge sur un corpus interne particulièrement difficile.Ensuite, afin d’adresser le problème de la synthèse et de l’édition d’images de visages, nous concevons un modèle nommé GA-cGAN : le premier réseau de neurones génératif adversaire (GAN) qui produit des visages synthétiques réalistes avec le genre et l’âge souhaités. Enfin, nous proposons une nouvelle méthode permettant d’employer GA-cGAN pour le changement du genre et de l’âge tout en préservant l’identité dans les images synthétiques. Cette méthode permet d'améliorer la précision d’un logiciel sur étagère de vérification faciale en présence d’écarts d’âges importants
The recent progress in artificial neural networks (rebranded as deep learning) has significantly boosted the state-of-the-art in numerous domains of computer vision. In this PhD study, we explore how deep learning techniques can help in the analysis of gender and age from a human face. In particular, two complementary problem settings are considered: (1) gender/age prediction from given face images, and (2) synthesis and editing of human faces with the required gender/age attributes.Firstly, we conduct a comprehensive study which results in an empirical formulation of a set of principles for optimal design and training of gender recognition and age estimation Convolutional Neural Networks (CNNs). As a result, we obtain the state-of-the-art CNNs for gender/age prediction according to the three most popular benchmarks, and win an international competition on apparent age estimation. On a very challenging internal dataset, our best models reach 98.7% of gender classification accuracy and an average age estimation error of 4.26 years.In order to address the problem of synthesis and editing of human faces, we design and train GA-cGAN, the first Generative Adversarial Network (GAN) which can generate synthetic faces of high visual fidelity within required gender and age categories. Moreover, we propose a novel method which allows employing GA-cGAN for gender swapping and aging/rejuvenation without losing the original identity in synthetic faces. Finally, in order to show the practical interest of the designed face editing method, we apply it to improve the accuracy of an off-the-shelf face verification software in a cross-age evaluation scenario
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Polette, Arnaud. "Analyse de maillages surfaciques par construction et comparaison de modèles moyens et par décomposition par graphes s'appuyant sur les courbures discrètes : application à l'étude de la cornée humaine." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4084/document.

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Cette thèse se découpe en trois parties. Les deux premières portent sur le développement de méthodes pour la construction de modèles géométriques moyens et pour la comparaison de modèles. Plusieurs problématiques sont abordées, telles que la construction d'une cornée moyenne et la comparaison de cornées. Il existe à ce jour peu d'études ayant ces objectifs car la mise en correspondance de surfaces cornéennes est une problématique non triviale. En plus d'aider à développer la connaissance de l'anatomie cornéenne, la modélisation de la cornée normale permet de détecter tout écart significatif par rapport à la normale permettant un diagnostic précoce de pathologies. La seconde partie a pour objectif de développer une méthode pour reconnaître une surface parmi un groupe de surfaces à l’aide de leurs acquisitions pour une application de biométrie. L’idée est de quantifier la différence entre chaque surface et une surface donnée, et de déterminer un seuil permettant la reconnaissance. Deux méthodes sont proposées et une méthodologie en cascade utilisant ces deux méthodes afin de combiner les avantages de chacune est aussi proposée. La troisième et dernière partie porte sur une nouvelle méthode de décomposition en graphes de maillages 3D triangulés. Nous utilisons des cartes de courbures discrètes comme descripteur de forme afin de découper le maillage en différentes catégorie de carreaux. Ensuite un graphe d'adjacence est construit avec un nœud pour chaque carreau. Ces graphes sont utilisés pour extraire des caractéristiques géométriques décrites par des motifs (ou patterns), ce qui permet de détecter des régions spécifiques dans un modèle 3D, ou des motifs récurrents
This thesis comprises three parts. The first two parts concern the development of methods for the construction of mean geometric models and for model comparison. Several issues are addressed, such as the construction of an average cornea and the comparison of corneas. Currently, there are few studies with these objectives because the matching of corneal surfaces is a non-trivial problem. In addition to help to develop a better understanding of the corneal anatomy, 3D models of normal corneas can be used to detect any significant deviation from the norm, thereby allowing for an early diagnosis of diseases or abnormalities using the shape of the cornea. The second part of this thesis aims to develop a method for recognizing a surface from a group of surfaces using their 3D acquisitions in a biometric application pertinent to the cornea. The concept behind this method is to quantify the difference between each surface and a given surface and to determine the threshold for recognition. Two complementary methods are proposed. A cascading methodology using both methods to combine the advantages of each method is also proposed. The third and final part of this thesis focuses on a new method for decomposing 3D triangulated meshes into graphs. We use discrete curvature maps as the shape descriptor to split the mesh in eight different categories. Next, an adjacency graph is built with a node for each patch. These graphs are used to extract geometric characteristics described by patterns that allow for the detection of specific regions in a 3D model or recurrent characteristics
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Polette, Arnaud. "Analyse de maillages surfaciques par construction et comparaison de modèles moyens et par décomposition par graphes s’appuyant sur les courbures discrètes : application à l’étude de la cornée humaine." Thèse, 2015. http://hdl.handle.net/1866/13715.

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Réalisé en cotutelle avec Aix Marseille Université.
Cette thèse se découpe en trois parties. Les deux premières portent sur le développement de méthodes pour la construction de modèles géométriques moyens et pour la comparaison de modèles. Ces approches sont appliquées à la cornée humaine pour l’élaboration d’atlas et pour l’étude biométrique robuste. La troisième partie porte sur une méthode générique d'extraction d'informations dans un maillage en s'appuyant sur des propriétés différentielles discrètes afin de construire une structure par graphe permettant l'extraction de caractéristiques par une description sémantique. Les atlas anatomiques conventionnels (papier ou CD-ROM) sont limités par le fait qu'ils montrent généralement l'anatomie d'un seul individu qui ne représente pas nécessairement bien la population dont il est issu. Afin de remédier aux limitations des atlas conventionnels, nous proposons dans la première partie d’élaborer un atlas numérique 3D contenant les caractéristiques moyennes et les variabilités de la morphologie d'un organe, plus particulièrement de la cornée humaine. Plusieurs problématiques sont abordées, telles que la construction d'une cornée moyenne et la comparaison de cornées. Il existe à ce jour peu d'études ayant ces objectifs car la mise en correspondance de surfaces cornéennes est une problématique non triviale. En plus d'aider à développer une meilleure connaissance de l'anatomie cornéenne, la modélisation 3D de la cornée normale permet de détecter tout écart significatif par rapport à la "normale" permettant un diagnostic précoce de pathologies ou anomalies de la forme de la cornée. La seconde partie a pour objectif de développer une méthode pour reconnaître une surface parmi un groupe de surfaces à l’aide de leurs acquisitions 3D respectives, dans le cadre d’une application de biométrie sur la cornée. L’idée est de quantifier la différence entre chaque surface et une surface donnée, et de déterminer un seuil permettant la reconnaissance. Ce seuil est dépendant des variations normales au sein d’un même sujet, et du bruit inhérent à l’acquisition. Les surfaces sont rognées et trouées de façon imprévisible, de plus il n’y a pas de point de mise en correspondance commun aux surfaces. Deux méthodes complémentaires sont proposées. La première consiste à calculer le volume entre les surfaces après avoir effectué un recalage, et à utiliser ce volume comme un critère de similarité. La seconde approche s’appuie sur une décomposition en harmoniques sphériques en utilisant les coefficients comme des descripteurs de forme, qui permettront de comparer deux surfaces. Des résultats sont présentés pour chaque méthode en les comparant à la méthode la plus récemment décrite dans la littérature, les avantages et inconvénients de chacune sont détaillés. Une méthodologie en cascade utilisant ces deux méthodes afin de combiner les avantages de chacune est aussi proposée. La troisième et dernière partie porte sur une nouvelle méthode de décomposition en graphes de maillages 3D triangulés. Nous utilisons des cartes de courbures discrètes comme descripteur de forme afin de découper le maillage traité en huit différentes catégorie de carreaux (ou peak, ridge, saddle ridge, minimal, saddle valley, valley, pit et flat). Ensuite, un graphe d'adjacence est construit avec un nœud pour chaque carreau. Toutes les catégories de carreaux ne pouvant pas être adjacentes dans un contexte continu, des jonctions intermédiaires sont ajoutées afin d'assurer une cohérence continue entre les zones. Ces graphes sont utilisés pour extraire des caractéristiques géométriques décrites par des motifs (ou patterns), ce qui permet de détecter des régions spécifiques dans un modèle 3D, ou des motifs récurrents. Cette méthode de décomposition étant générique, elle peut être appliquée à de nombreux domaines où il est question d’analyser des modèles géométriques, en particulier dans le contexte de la cornée.
This thesis comprises three parts. The first two parts concern the development of methods for the construction of mean geometric models and for model comparison. These approaches are applied to the human cornea for the construction of atlases and a robust biometric study. The third part focuses on a generic method for the extraction of information in a mesh. This approach is based on discrete differential properties for building a graph structure to extract features using a semantic description. Conventional anatomical atlases (paper or CD-ROM) are limited by the fact they generally show the anatomy of a single individual who does not necessarily represent the population from which they originate. To address the limitations of conventional atlases, we propose in the first part of this thesis to construct a 3D digital atlas containing the average characteristics and variability of the morphology of an organ, especially that of the human cornea. Several issues are addressed, such as the construction of an average cornea and the comparison of corneas. Currently, there are few studies with these objectives because the matching of corneal surfaces is a non-trivial problem. In addition to help to develop a better understanding of the corneal anatomy, 3D models of normal corneas can be used to detect any significant deviation from the norm, thereby allowing for an early diagnosis of diseases or abnormalities using the shape of the cornea. The second part of this thesis aims to develop a method for recognizing a surface from a group of surfaces using their 3D acquisitions in a biometric application pertinent to the cornea. The concept behind this method is to quantify the difference between each surface and a given surface and to determine the threshold for recognition. This threshold depends on normal variations within the same subject and noise due to the acquisition system. The surfaces are randomly trimmed and pierced ; moreover, there is no common landmark on the surfaces. Two complementary methods are proposed. The first method consists of the computation of the volume between the surfaces after performing geometrical matching and the use of this volume as a criterion of similarity. The second approach is based on a decomposition of the surfaces into spherical harmonics using the coefficients as shape descriptors to compare the two surfaces. Each result of the proposed methods is compared to the most recent method described in the literature, with the benefits and disadvantages of each one described in detail. A cascading methodology using both methods to combine the advantages of each method is also proposed. The third and final part of this thesis focuses on a new method for decomposing 3D triangulated meshes into graphs. We use discrete curvature maps as the shape descriptor to split the mesh in eight different categories (peak, ridge, saddle ridge, minimal, saddle valley, valley, pit and flat). Next, an adjacency graph is built with a node for each patch. Because all categories of patches cannot be adjacent in a continuous context, intermediate junctions are added to ensure the continuous consistency between patches. These graphs are used to extract geometric characteristics described by patterns that allow for the detection of specific regions in a 3D model or recurrent characteristics. This decomposition method, being generic, can be used in many applications to analyze geometric models, especially in the context of the cornea.
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Books on the topic "Biometric description"

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Halliwell, D. H. Boreal ecosystem-atmosphere study (BOREAS) biometry and auxiliary sites: Locations and descriptions. Edmonton: Northern Forestry Centre, 1997.

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Book chapters on the topic "Biometric description"

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Ye, Ziyun, Jinfeng Yang, and Jose Hernandez Palancar. "Weighted Graph Based Description for Finger-Vein Recognition." In Biometric Recognition, 370–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_40.

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Karczmarek, Paweł, Adam Kiersztyn, and Witold Pedrycz. "An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features." In Artificial Intelligence and Soft Computing, 137–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91262-2_13.

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Zhu, Jun-Yong, Wei-Shi Zheng, and Jian-Huang Lai. "Complete Gradient Face: A Novel Illumination Invariant Descriptor." In Biometric Recognition, 17–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35136-5_3.

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Liu, Ting, Zhen Lei, Jun Wan, and Stan Z. Li. "DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation." In Biometric Recognition, 649–58. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_76.

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Liu, Na, Jianhuang Lai, and Wei-Shi Zheng. "A Sparse Local Feature Descriptor for Robust Face Recognition." In Biometric Recognition, 33–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25449-9_5.

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Huang, Dongcheng, Xiang Li, Hongwei Li, and Weishi Zheng. "Learning 3D Compact Binary Descriptor for Human Action Recognition in Video." In Biometric Recognition, 615–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_72.

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Lu, Jingting, Hui Ye, Wei Jia, Yang Zhao, Hai Min, Wenxiong Kang, and Lunke Fei. "The Variants of Weber Local Descriptor and Their Applications for Biometrics." In Biometric Recognition, 691–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_74.

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Yang, Jucheng, Meng Li, Lingchao Zhang, Shujie Han, Xiaojing Wang, and Jie Wang. "Face Expression Recognition Using Gabor Features and a Novel Weber Local Descriptor." In Biometric Recognition, 265–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_29.

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Liu, Mingkang, Qi Li, Zhenan Sun, and Qiyao Deng. "Face Clustering Utilizing Scalable Sparse Subspace Clustering and the Image Gradient Feature Descriptor." In Biometric Recognition, 311–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_34.

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Li, Xiaoxu, Chensi Mao, Shiliang Huang, and Zhongfu Ye. "Chinese Sign Language Recognition Based on SHS Descriptor and Encoder-Decoder LSTM Model." In Biometric Recognition, 719–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_77.

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Conference papers on the topic "Biometric description"

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Samangooei, Sina, Baofeng Guo, and Mark S. Nixon. "The Use of Semantic Human Description as a Soft Biometric." In 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems. IEEE, 2008. http://dx.doi.org/10.1109/btas.2008.4699354.

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Zhang, Xinman, Dongxu Cheng, and Xuebin Xu. "Weighted Multimodal Biometric Recognition Algorithm Based on Histogram of Contourlet Oriented Gradient Feature Description." In 2019 Federated Conference on Computer Science and Information Systems. IEEE, 2019. http://dx.doi.org/10.15439/2019f178.

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Reid, Daniel A., and Mark S. Nixon. "Imputing human descriptions in semantic biometrics." In the 2nd ACM workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1877972.1877982.

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Saeed, Khalid. "A simple biometrics image descriptor." In 2017 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2017. http://dx.doi.org/10.1109/icbake.2017.8090654.

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Reid, Daniel A., and Mark S. Nixon. "Human identification using facial comparative descriptions." In 2013 International Conference on Biometrics (ICB). IEEE, 2013. http://dx.doi.org/10.1109/icb.2013.6612962.

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Reid, Daniel A., and Mark S. Nixon. "Using comparative human descriptions for soft biometrics." In 2011 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2011. http://dx.doi.org/10.1109/ijcb.2011.6117513.

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Kocjan, Przemyslaw, and Khalid Saeed. "A Feature Based Algorithm for Face Image Description." In 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2011. http://dx.doi.org/10.1109/icbake.2011.17.

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Yang, Jianwei, Zhen Lei, Shengcai Liao, and Stan Z. Li. "Face liveness detection with component dependent descriptor." In 2013 International Conference on Biometrics (ICB). IEEE, 2013. http://dx.doi.org/10.1109/icb.2013.6612955.

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Papanikoloudis, N., S. Delis, N. Nikolaidis, and I. Pitas. "Semantic description in stereo video content for surveillance applications." In 2013 International Workshop on Biometrics and Forensics (IWBF 2013). IEEE, 2013. http://dx.doi.org/10.1109/iwbf.2013.6547313.

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Klare, Brendan F., Scott Klum, Joshua C. Klontz, Emma Taborsky, Tayfun Akgul, and Anil K. Jain. "Suspect identification based on descriptive facial attributes." In 2014 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2014. http://dx.doi.org/10.1109/btas.2014.6996255.

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