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Relevant bibliographies by topics / Biometrics; Modalities; Face recognition / Dissertations / Theses

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Dissertations / Theses on the topic 'Biometrics; Modalities; Face recognition'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Ding, Huaxiong. "Combining 2D facial texture and 3D face morphology for estimating people's soft biometrics and recognizing facial expressions." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC061/document.

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Puisque les traits de biométrie douce peuvent fournir des preuves supplémentaires pour aider à déterminer précisément l’identité de l’homme, il y a eu une attention croissante sur la reconnaissance faciale basée sur les biométrie douce ces dernières années. Parmi tous les biométries douces, le sexe et l’ethnicité sont les deux caractéristiques démographiques importantes pour les êtres humains et ils jouent un rôle très fondamental dans l’analyse de visage automatique. En attendant, la reconnaissance des expressions faciales est un autre challenge dans le domaine de l’analyse de visage en raiso

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2

Cadavid, Steven. "Human Identification Based on Three-Dimensional Ear and Face Models." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/516.

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We propose three biometric systems for performing 1) Multi-modal Three-Dimensional (3D) ear + Two-Dimensional (2D) face recognition, 2) 3D face recognition, and 3) hybrid 3D ear recognition combining local and holistic features. For the 3D ear component of the multi-modal system, uncalibrated video sequences are utilized to recover the 3D ear structure of each subject within a database. For a given subject, a series of frames is extracted from a video sequence and the Region-of-Interest (ROI) in each frame is independently reconstructed in 3D using Shape from Shading (SFS). A ﬁdelity measure i

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3

Jones, Creed Farris III. "Color Face Recognition using Quaternionic Gabor Filters." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/26591.

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This dissertation reports the development of a technique for automated face recognition, using color images. One of the more powerful techniques for recognition of faces in monochromatic images has been extended to color by the use of hypercomplex numbers called quaternions. Two software implementations have been written of the new method and the analogous method for use on monochromatic images. Test results show that the new method is superior in accuracy to the analogous monochrome method. Although color images are generally collected, the great majority of published research efforts and

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4

Goswami, D. "Cross-spectral face recognition between near-infrared and visible light modalities." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580573.

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In this thesis, improvement of face recognition performance with the use of images from the visible (VIS) and near-infrared (NIR) spectrum is attempted. Face recog- nition systems can be adversely affected by scenarios which encounter a significant amount of illumination variation across images of the same subject. Cross-spectral face recognition systems using images collected across the VIS and NIR spectrum can counter the ill-effects of illumination variation by standardising both sets of images. A novel preprocessing technique is proposed, which attempts the transformation of faces across b

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5

Dabbah, Mohammad A. "Non-reversible mathematical transforms for secure biometric face recognition." Thesis, University of Newcastle upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548002.

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As the demand for higher and more sophisticated security solutions has dramatically increased, a trustworthy and a more intelligent authentication technology has to takeover. That is biometric authentication. Although biometrics provides promising solutions, it is still a pattern recognition and artificial intelligence grand challenge. More importantly, biometric data in itself are vulnerable and requires comprehensive protection that ensures their security at every stage of the authentication procedure including the processing stage. Without this protection biometric authentication cannot rep

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6

Sanderson, Conrad, and conradsand@ieee org. "Automatic Person Verification Using Speech and Face Information." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030422.105519.

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Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be

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7

Ramos, Sanchez M. Ulises. "Aspects of facial biometrics for verification of personal identity." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/792194/.

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8

Tompkins, Richard Cortland. "Multimodal recognition using simultaneous images of iris and face with opportunistic feature selection." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1312222279.

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9

Chaudhari, Soumee. "Modelling Distance Functions Induced by Face Recognition Algorithms." Scholar Commons, 2004. https://scholarcommons.usf.edu/etd/990.

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Face recognition algorithms has in the past few years become a very active area of research in the fields of computer vision, image processing, and cognitive psychology. This has spawned various algorithms of different complexities. The concept of principal component analysis(PCA) is a popular mode of face recognition algorithm and has often been used to benchmark other face recognition algorithms for identification and verification scenarios. However in this thesis, we try to analyze different face recognition algorithms at a deeper level. The objective is to model the distances output by any

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10

Alex, Ann Theja. "Local Alignment of Gradient Features for Face Photo and Face Sketch Recognition." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1353372694.

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11

Juefei-Xu, Felix. "Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1189.

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Many real-world face recognition tasks are under unconstrained conditions such as off-angle pose variations, illumination variations, facial occlusion, facial expression, etc. In this work, we are focusing on the real-world scenarios where only the periocular region of a face is visible such as in the ISIS case. In Part I of the dissertation, we will showcase the face recognition capability based on the periocular region, which we call the periocular face recognition. We will demonstrate that face matching using the periocular region directly is more robust than the full face in terms of age-t

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12

Gao, Jiangning. "3D face recognition using multicomponent feature extraction from the nasal region and its environs." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707585.

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This thesis is dedicated to extracting expression robust features for 3D face recognition. The use of 3D imaging enables the extraction of discriminative features that can significantly improve the recognition performance due to the availability of facial surface information such as depth, surface normals and curvature. Expression robust analysis using information from both depth and surface normals is investigated by dividing the main facial region into patches of different scales. The nasal region and adjoining parts of the cheeks are utilized as they are more consistent over different expre

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13

Mahoor, Mohammad Hossein. "A Multi-Modal Approach for Face Modeling and Recognition." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/32.

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This dissertation describes a new methodology for multi-modal (2-D + 3-D) face modeling and recognition. There are advantages in using each modality for face recognition. For example, the problems of pose variation and illumination condition, which cannot be resolved easily by using the 2-D data, can be handled by using the 3-D data. However, texture, which is provided by 2-D data, is an important cue that cannot be ignored. Therefore, we use both the 2-D and 3-D modalities for face recognition and fuse the results of face recognition by each modality to boost the overall performance of the sy

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14

El, Seuofi Sherif M. "Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles." Youngstown State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813.

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15

Reguna, Lakshmi. "An indepth analysis of face recognition algorithms using affine approximations." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000616.

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Sanderson, Conrad. "Automatic Person Verification Using Speech and Face Information." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367191.

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Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be

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17

Lin, Frank Chi-Hao. "Super-resolution image processing with application to face recognition." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/16703/1/Frank_Lin_Thesis.pdf.

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Subject identification from surveillance imagery has become an important task for forensic investigation. Good quality images of the subjects are essential for the surveillance footage to be useful. However, surveillance videos are of low resolution due to data storage requirements. In addition, subjects typically occupy a small portion of a camera's field of view. Faces, which are of primary interest, occupy an even smaller array of pixels. For reliable face recognition from surveillance video, there is a need to generate higher resolution images of the subject's face from low-resolution vide

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Lin, Frank Chi-Hao. "Super-resolution image processing with application to face recognition." Queensland University of Technology, 2008. http://eprints.qut.edu.au/16703/.

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Subject identification from surveillance imagery has become an important task for forensic investigation. Good quality images of the subjects are essential for the surveillance footage to be useful. However, surveillance videos are of low resolution due to data storage requirements. In addition, subjects typically occupy a small portion of a camera's field of view. Faces, which are of primary interest, occupy an even smaller array of pixels. For reliable face recognition from surveillance video, there is a need to generate higher resolution images of the subject's face from low-resolution vide

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Munasinghe, Kankanamge Sarasi Madushika. "Facial analysis models for face and facial expression recognition." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118197/1/Sarasi%20Madushika_Munasinghe%20Kankanamge_Thesis.pdf.

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This thesis examines the research and development of new approaches for face and facial expression recognition within the fields of computer vision and biometrics. Expression variation is a challenging issue in current face recognition systems and current approaches are not capable of recognizing facial variations effectively within human-computer interfaces, security and access control applications. This thesis presents new contributions for performing face and expression recognition simultaneously; face recognition in the wild; and facial expression recognition in challenging environments. T

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Mráček, Štěpán. "Biometric Recognition of 3D Faces." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237237.

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Diplomová práce byla vypracována na studijním pobytu na "Gjovik University College" v Norsku, a je zpracována v angličtině. Tato práce se zabývá rozpoznáváním 3D obličejů. Je zde popsán obecný biometrický systém a také konkrétní postupy používané při rozpoznávání 2D i 3D obličejů. Následně je navžena metoda pro rozpoznávání 3D obličejů. Algoritmus je vyvíjen a testován pomocí databáze Face Recognition Grand Challenge (FRGC). Během předzpracování jsou nalezeny význačné body v obličeji a následně je trojrozměrný model zarovnán do referenční polohy. Dále jsou vstupní data porovnávána s biometrick

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Zhang, Yong. "Robust algorithms for property recovery in motion modeling, medical imaging and biometrics." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001177.

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22

Emambakhsh, Mehryar. "Using the 3D shape of the nose for biometric authentication." Thesis, University of Bath, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665386.

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This thesis is dedicated to exploring the potential of the 3D shape of the nasal region for face recognition. In comparison to other parts of the face, the nose has a number of distinctive features that make it attractive for recognition purposes. It is relatively stable over different facial expressions, easy to detect because of its salient convexity, and difficult to be intentionally cover up without attracting suspicion. In addition compared to other facial parts, such as forehead, chin, mouth and eyes, the nose is not vulnerable to unintentional occlusions caused by scarves or hair. Prior

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23

Boulkenafet, Z. (Zinelabidine). "Face presentation attack detection using texture analysis." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526219257.

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Abstract In the last decades, face recognition systems have evolved a lot in terms of performance. As a result, this technology is now considered as mature and is applied in many real world applications from border control to financial transactions and computer security. Yet, many studies show that these systems suffer from vulnerabilities to spoofing attacks, a weakness that may limit their usage in many cases. A face spoofing attack or presentation attack occurs when someone tries to masquerade as someone else by presenting a fake face in front of the face recognition camera. To protect the

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Nguyen, Thanh Kien. "Human identification at a distance using iris and face." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/62876/1/Kien_Nguyen%20Thanh_Thesis.pdf.

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This research has successfully applied super-resolution and multiple modality fusion techniques to address the major challenges of human identification at a distance using face and iris. The outcome of the research is useful for security applications.

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Saleh, Mohamed Ibrahim. "Using Ears for Human Identification." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33158.

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Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. Our research considers the use of ears as a biometric for human recognition. Researchers have not considered this biometric as much as others, which include fingerprints, irises, and faces. This thesis presents a novel approach to recognize individuals based on their outer ear images through spatial segmentation. This approach to recognizing is also good

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Tang, Yinhang. "Contributions to biometrics : curvatures, heterogeneous cross-resolution FR and anti spoofing." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC060/document.

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Visage est l’une des meilleures biométries pour la reconnaissance de l’identité de personnes, car l’identification d’une personne par le visage est l’habitude instinctive humaine, et l’acquisition de données faciales est naturelle, non intrusive et bien acceptée par le public. Contrairement à la reconnaissance de visage par l’image 2D sur l’apparence, la reconnaissance de visage en 3D sur la forme est théoriquement plus stable et plus robuste à la variance d’éclairage, aux petits changements de pose de la tête et aux cosmétiques pour le visage. Spécifiquement, les courbures sont les plus impor

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Porubsky, Jakub. "Biometric Authentication in M-Payments : Analysing and improving end-users’ acceptability." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79221.

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Traditional authentication methods like Personal Identification Number (PIN) are getting obsolete and insecure for electronic-payments while mobile-payments are becoming more and more popular. Biometrics such as fingerprint and face recognition authentication methods seem to be a solution to this security issue as they are becoming a regular and integrated part of an average smartphone end-users purchase. However, for mobile-payments to be authenticated by biometrics, end-users acceptability of both technologies must be high. In this research, fingerprint and face recognition authentication me

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Mohanty, Pranab. "Learning from biometric distances : performance and security related issues in face recognition systems." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002298.

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Youmaran, Richard. "Algorithms to Process and Measure Biometric Information Content in Low Quality Face and Iris Images." Thesis, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19729.

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Biometric systems allow identification of human persons based on physiological or behavioral characteristics, such as voice, handprint, iris or facial characteristics. The use of face and iris recognition as a way to authenticate user’s identities has been a topic of research for years. Present iris recognition systems require that subjects stand close (<2m) to the imaging camera and look for a period of about three seconds until the data are captured. This cooperative behavior is required in order to capture quality images for accurate recognition. This will eventually restrict the amount of

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Soldera, John. "Reconhecimento facial com projeções ortogonais preservadoras de localidade customizadas para maximizar margens suaves." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/131030.

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Atualmente, o reconhecimento facial por técnicas automáticas é ainda uma tarefa desafiadora uma vez que as imagens faciais podem ser afetadas por mudanças na cena, tais como na iluminação, na pose da cabeça, ou na expressão facial. Além disso, a representação de faces por feições faciais geralmente requer diversas dimensões, o que impõe desafios adicionais ao reconhecimento facial. Nessa tese, é proposto um novo método de reconhecimento facial com o objetivo de ser robusto a muitos dos fatores que podem afetar as feições faciais na prática e se baseia em determinar transformações do espaço ori

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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16436/1/Christopher_McCool_Thesis.pdf.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the acc

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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16436/.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the accuracy an

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Bezerra, Giuliana Silva. "A framework for investigating the use of face features to identify spontaneous emotions." Universidade Federal do Rio Grande do Norte, 2014. http://repositorio.ufrn.br/handle/123456789/19595.

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Hanner, Martin, and Tobias Björk. "Biometri vid fysisk access : En jämförande studie mellan ansiktsigenkänning och fingeravtrycksavläsning." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-910.

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<p>In today’s society, people often find themselves in situations where they need to be identified;for example when we buy alcohol, need to use an ATM or log on to our e-mail account. The most common methods today that are used for these kinds of matters are antiquated, and in</p><p>the meantime, criminals all over the world get more sophisticated. Companies invest billions every day in order to protect their interests. Maybe it’s time that we finally give biometrics the</p><p>attention that it deserves.</p><p>This essay aims to describe the biometric methods that are available today, find som

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Andrezza, Igor Lucena Peixoto. "Análise de técnicas de normalização aplicadas ao reconhecimento facial." Universidade Federal da Paraíba, 2015. http://tede.biblioteca.ufpb.br:8080/handle/tede/7883.

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Submitted by Viviane Lima da Cunha (viviane@biblioteca.ufpb.br) on 2016-02-18T10:52:41Z No. of bitstreams: 1 arquivototal.pdf: 2258673 bytes, checksum: 21b44b2c7c089c792e07c8e4e298daf6 (MD5)<br>Made available in DSpace on 2016-02-18T10:52:41Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2258673 bytes, checksum: 21b44b2c7c089c792e07c8e4e298daf6 (MD5) Previous issue date: 2015-02-27<br>Biometrics offers a reliable authentication mechanism that identifies the users through their physical and behavioral characteristics. The problem of face recognition is not trivial because there are many f

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Jelen, Vilém. "Biometrická brána využívající kamer pro identifikaci osob." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403188.

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Biometric gateways are used to quickly and accurately identify people. Of the biometric characteristics, iris, face and fingerprints are commonly used. By combining them, better identification results can be achieved. The aim of this thesis is to create such a biometric gateway together with the control application. A combination of iris of both eyes and face is used, which is captured by cameras from three angles to increase accuracy. Neural networks are used to detect and extract face features. Iris recognition is realized using Daugman's algorithm.

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Váňa, Jan. "Rozpoznávání termosnímků obličejů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236689.

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Images of human face are one of the most used biometric features in automatic identification. This article presents an approach which uses face images in thermal (infrared) spectrum for purpose of important face features (eyes position, head rotation) detection and identification.

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Marešová, Marcela. "Pokročilé úpravy obrazu pro aplikace rozpoznávání 2D obličeje." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237238.

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This work deals with image enhacements technology for 2D faces.. Describes methods of image processing, which are used in the proposed methods. These methods eliminate inhomogeneous lighting and shadows in the face. It also suggests the detector face, which is used as input for the method to eliminate shadows.

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Komulainen, J. (Jukka). "Software-based countermeasures to 2D facial spoofing attacks." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526208732.

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Abstract Because of its natural and non-intrusive interaction, identity verification and recognition using facial information is among the most active areas in computer vision research. Unfortunately, it has been shown that conventional 2D face recognition techniques are vulnerable to spoofing attacks, where a person tries to masquerade as another one by falsifying biometric data and thereby gaining an illegitimate advantage. This thesis explores different directions for software-based face anti-spoofing. The proposed approaches are divided into two categories: first, low-level feature descrip

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Penteado, Bruno Elias [UNESP]. "Autenticação biométrica de usuários em sistemas de E-learning baseada em reconhecimento de faces a partir de vídeo." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/98692.

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Made available in DSpace on 2014-06-11T19:29:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-07-27Bitstream added on 2014-06-13T20:59:56Z : No. of bitstreams: 1 penteado_be_me_sjrp.pdf: 1032009 bytes, checksum: 4cf143854132e42249128674b69ba77b (MD5)<br>Nos últimos anos tem sido observado um crescimento exponencial na oferta de cursos a distância realizados pela Internet, decorrente de suas vantagens e características (menores custos de distribuição e atualização de conteúdo, gerenciamento de grandes turmas, aprendizado assíncrono e geograficamente independente, etc.), bem como de s

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Penteado, Bruno Elias. "Autenticação biométrica de usuários em sistemas de E-learning baseada em reconhecimento de faces a partir de vídeo /." São José do Rio Preto : [s.n.], 2009. http://hdl.handle.net/11449/98692.

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Orientador: Aparecido Nilceu Elias<br>Banca: Agma Juci Machado Traina<br>Banca: Wilson Massashiro Yonezawa<br>Resumo: Nos últimos anos tem sido observado um crescimento exponencial na oferta de cursos a distância realizados pela Internet, decorrente de suas vantagens e características (menores custos de distribuição e atualização de conteúdo, gerenciamento de grandes turmas, aprendizado assíncrono e geograficamente independente, etc.), bem como de sua regulamentação e apoio governamental. Entretanto, a falta de mecanismos eficazes para assegurar a autenticação dos alunos neste tipo de ambiente

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Poinsot, Audrey. "Traitements pour la reconnaissance biométrique multimodale : algorithmes et architectures." Thesis, Dijon, 2011. http://www.theses.fr/2011DIJOS010.

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Combiner les sources d'information pour créer un système de reconnaissance biométrique multimodal permet d'atténuer les limitations de chaque caractéristique utilisée, et donne l'opportunité d'améliorer significativement les performances. Le travail présenté dans ce manuscrit a été réalisé dans le but de proposer un système de reconnaissance performant, qui réponde à des contraintes d'utilisation grand-public, et qui puisse être implanté sur un système matériel de faible coût. La solution choisie explore les possibilités apportées par la multimodalité, et en particulier par la fusion du visage

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HSUEH, Chieh-Jen, and 薛傑仁. "Biometrics on Human Face Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/76446999423396054679.

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碩士<br>亞洲大學<br>生物資訊學系碩士班<br>98<br>This thesis reviews and compares the pros and cons of several popular theories and methods for face recognize system, such as PCA, ICA, LDA, HMM, SVM, etc. In the end, the thesis also presents our study of “Face Recognition Base on Gini Features and K-L Transform” which was published in ITIA 2010 conference. This study is to improve the performance of Karhunen-Loève transform (KLT) in face recognition of biometrics. A measure of non-uniformity, called Gini index, is used to extract critical blocks of a human face so that the computation needed can be reduced wi

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Boehnen, Christopher Bensing. "Improving 3D face recognition model generation and biometrics." 2009. http://etd.nd.edu/ETD-db/theses/available/etd-07272009-111718/.

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Thesis (Ph. D.)--University of Notre Dame, 2009.<br>Thesis directed by Patrick Flynn for the Department of Computer Science and Engineering. "July 2009." Includes bibliographical references (leaves 186-192).

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Ganapathi, Tejaswini. "Color Image Based Face Recognition." Thesis, 2008. http://hdl.handle.net/1807/17169.

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Traditional appearance based face recognition (FR) systems use gray scale images, however recently attention has been drawn to the use of color images. Color inputs have a larger dimensionality, which increases the computational cost, and makes the small sample size (SSS) problem in supervised FR systems more challenging. It is therefore important to determine the scenarios in which usage of color information helps the FR system. In this thesis, it was found that inclusion of chromatic information in FR systems is shown to be particularly advantageous in poor illumination conditions. In super

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Wang, Yongjin. "Changeable and Privacy Preserving Face Recognition." Thesis, 2010. http://hdl.handle.net/1807/26390.

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Traditional methods of identity recognition are based on the knowledge of a password or a PIN, or possession factors such as tokens and ID cards. Such strategies usually afford low level of security, and can not meet the requirements of applications with high security demands. Biometrics refer to the technology of recognizing or validating the identity of an individual based on his/her physiological and/or behavioral characteristics. It is superior to conventional methods in both security and convenience since biometric traits can not be lost, forgotten, or stolen as easily, and it is relative

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Ferenbok, Joseph. "The Identity Myth: Constructing the Face in Technologies of Citizenship." Thesis, 2009. http://hdl.handle.net/1807/24306.

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Over the last century, images of faces have become integral components of many institutional identification systems. A driver’s licence, a passport and often even a health care card, all usually feature prominently images representing the face of their bearer as part of the mechanism for linking real-world bodies to institutional records. Increasingly the production, distribution and inspection of these documents is becoming computer-mediated. As photo ID documents become ‘enhanced’ by computerization, the design challenges and compromises become increasingly coded in the hierarchy of gazes

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Chang, Chia-Kai, and 張家愷. "Face Recognition Method by Integrating the Techniques of Biometrics and Principal Component Analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/56719495701817415015.

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碩士<br>朝陽科技大學<br>資訊管理系<br>102<br>This study proposes a face recognition method by integrating the techniques of biometrics and principal component analysis (PCA). Based on this method, we construct a multi-face recognition system which is based on fourteen biometric features. In this system, improve the detection process by using two color space models to extract face regions from the picture. We capture the biometric features from every candidate of face image, calculate the difference of facial feature vector (DFFV) and find weights of feature vector by PCA. Then, these data are stored in fac

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"Distortion Robust Biometric Recognition." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.51747.

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abstract: Information forensics and security have come a long way in just a few years thanks to the recent advances in biometric recognition. The main challenge remains a proper design of a biometric modality that can be resilient to unconstrained conditions, such as quality distortions. This work presents a solution to face and ear recognition under unconstrained visual variations, with a main focus on recognition in the presence of blur, occlusion and additive noise distortions. First, the dissertation addresses the problem of scene variations in the presence of blur, occlusion and additive

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Lu, Haiping. "Multilinear Subspace Learning for Face and Gait Recognition." Thesis, 2008. http://hdl.handle.net/1807/16750.

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Face and gait recognition problems are challenging due to largely varying appearances, highly complex pattern distributions, and insufficient training samples. This dissertation focuses on multilinear subspace learning for face and gait recognition, where low-dimensional representations are learned directly from tensorial face or gait objects. This research introduces a unifying multilinear subspace learning framework for systematic treatment of the multilinear subspace learning problem. Three multilinear projections are categorized according to the input-output space mapping as: vector-t

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