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Artigos de revistas sobre o assunto "Biometrisk Data"

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Varisha, Alam, and Arif Mohammad. "Classification of Large Biometric Data in Database System." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 10 (2021): 1–8. https://doi.org/10.35940/ijitee.D8592.08101021.

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"Biometrics" is got from the Greek word 'life' and 'measure' which implies living and evaluation take apart. It simply converts into "life estimation". Biometrics uses computerized acknowledgment of people, dependent on their social and natural attributes. Biometric character are data separated from biometric tests, which can use for examination with a biometric orientation. Biometrics involves techniques to unusually recognize people dependent on at least one inherent physical or behavior attribute. In software engineering, specifically, biometric is used a
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Alam*, Varisha, and Dr Mohammad Arif. "Classification of Large Biometric Data in Database System." International Journal of Innovative Technology and Exploring Engineering 10, no. 10 (2021): 1–8. http://dx.doi.org/10.35940/ijitee.d8592.08101021.

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"Biometrics" is got from the Greek word 'life' and 'measure' which implies living and evaluation take apart. It simply converts into "life estimation". Biometrics uses computerized acknowledgment of people, dependent on their social and natural attributes. Biometric character are data separated from biometric tests, which can use for examination with a biometric orientation. Biometrics involves techniques to unusually recognize people dependent on at least one inherent physical or behavior attribute. In software engineering, specifically, biometric is used as a form of character retrieve the C
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Mr., Manish Vala, Patel Kajal, and Lad Harsh. "Multi Model Biometrics Data Retrieval Through Big Data." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 1273–77. https://doi.org/10.31142/ijtsrd15933.

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This study is devoted to Big Data problems in biometric technologies. Before the traditional database were not capable to handle the large amount of data, so we highlight the concept of using Big Data technology in solution of a wide range of issues faced by the national security, law enforcement system and defence authorities. The study provides information about Big Data in the field of biometric technology. Mr. Manish Vala | Kajal Patel | Harsh Lad "Multi Model Biometrics Data Retrieval Through: Big-Data" Published in International Journal of Trend in Scientific Research and Devel
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Mushtaque, Ahmed. "BIOMETRICS SYSTEM ACKNOWLEDGEMNT BASED ON DATA FUSION." International Journal of Research – Granthaalayah 4, no. 3 (2017): 85–91. https://doi.org/10.5281/zenodo.847003.

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In these days lot of systems have need an efficient and reliable biometrics recognition system. By considering the importance of biometric systems in global world, in this paper we are discussing the importance of a new era of verification. Applications of Biometric systems in accordance to Data fusion and what is the future of biometric systems.
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Mrs., M. Tamil Selvi*1 &. Mrs. A. Sumathi 2. "FUSION TECHNIQUES FOR BIMODAL AND MULTIMODAL BIOMETRIC SYSTEM AUTHENTICATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 40–45. https://doi.org/10.5281/zenodo.884845.

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Biometrics is the one of the security mechanism for computer network security. It is science and technology of measuring and analyzing biological data of human body, extracting details from the acquired data, and comparing the data to the stored in database. Existing system is unimodal biometric system. The proposed system is supported fusion techniques multimodal biometric system. However Multimodal biometrics requires storage of multiple biometric templates for each user, which results in increased risk to user privacy and system security. This paper will discuss the concept off biometrics,
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Wara, Mastoor, and Nahar Priyank. "Public Increasing Trust of Biometric Technology." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1073–79. https://doi.org/10.35940/ijeat.C5724.049420.

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Publically agree to technology of biometric is compound based at extreme believe. The bounded function at believe to biometrics usually record in various types of biometrics with correlative samples associated with familiarity and confidential. To develop a complete understand trust of people recognition about biometrics, we employed current theory to develop a regular calculation of trust in biometrics from user’s theory. We increased confidence of first concern in terms of mutual interaction, technology, information systems and adoption of automated technology. Identified common belief
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Bisogni, Carmen, Lucia Cascone, and Fabio Narducci. "Periocular Data Fusion for Age and Gender Classification." Journal of Imaging 8, no. 11 (2022): 307. http://dx.doi.org/10.3390/jimaging8110307.

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In recent years, the study of soft biometrics has gained increasing interest in the security and business sectors. These characteristics provide limited biometric information about the individual; hence, it is possible to increase performance by combining numerous data sources to overcome the accuracy limitations of a single trait. In this research, we provide a study on the fusion of periocular features taken from pupils, fixations, and blinks to achieve a demographic classification, i.e., by age and gender. A data fusion approach is implemented for this purpose. To build a trust evaluation o
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Chinyemba, Melissa K., and Jackson Phiri. "Gaps in the Management and Use of Biometric Data: A Case of Zambian Public and Private Institutions." Zambia ICT Journal 2, no. 1 (2018): 35–43. http://dx.doi.org/10.33260/zictjournal.v2i1.49.

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The current physical and cybersecurity systems rely on traditional three-factor authentication to mitigate the threats posed by insider attacks. Key is the use of biometric information. Biometrics are a unique measurement and analysis of the unique physiological special traits such as voice, eye structure and others that can be used in the discipline of varying person identification. Biometry, which is the analysis of these biometrics is a complex process but guarantees identification and non-repudiation. If used to identify humans then several issues such as where is the biometric data stored
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Hidayat, Taopik, Nurul Khasanah, Daniati Uki Eka Saputri, Umi Khultsum, and Risca Lusiana Pratiwi. "Klasifikasi Gambar Palmprint Berbasis Multi-Kelas Menggunakan Convolutional Neural Network." Jurnal Sistem Informasi 11, no. 1 (2022): 01–06. http://dx.doi.org/10.51998/jsi.v11i1.474.

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Abstract—Biometric technology is developing to be the most relevant mechanism in identity identification. The main purpose of an identity management system is to be able to establish a relationship between individuals and their identities when needed under certain conditions. Among the newly proposed identity verification and personal identification technologies, biometrics is rapidly becoming the most relevant mechanism for identity recognition. This study proposes a new biometric recognition method for authentication and personal identification. Palm image recognition based on image processi
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Rassolov, I. M., S. G. Chubukova, and I. V. Mikurova. "Biometrics in the Context of Personal Data and Genetic Information: Legal Issues." Lex Russica, no. 1 (January 1, 2019): 108–18. http://dx.doi.org/10.17803/1729-5920.2019.146.1.108-118.

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In modern society, methods of identification of persons on the basis of their physical, biological or behavioral characteristics are actively developing. European countries are in the process of developing a holistic doctrine on biometric control and are clarifying their position on situations where biometric data are used by individuals.From the position of information law, the paper presents a new author’s approach to the problem of processing biometric data and genetic information. The division of biometrics into “trace” and “non-trace” is losing its meaning. A new classification of biometr
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Teses / dissertações sobre o assunto "Biometrisk Data"

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Nytorpe, Piledahl Staffan, and Daniel Dahlberg. "Detektering av stress från biometrisk data i realtid." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31248.

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At the time of writing, stress and stress related disease have become the most common reasons for absence in the workplace in Sweden. The purpose of the work presented here is to identify and notify people managing unhealthy levels of stress. Since symptoms of mental stress manifest through functions of the Sympathetic Nervous System (SNS), they are best measured through monitoring of SNS changes and phenomena. In this study, changes in the sympathetic control of heart rate were recorded and analyzed using heart rate variability analysis and a simple runner’s heart rate sensor connected to a s
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Madsen, Angelica, and Carl Nymanson. "Bör du v(AR)a rädd för framtiden? : En studie om The Privacy Paradox och potentiella integritetsrisker med Augmented Reality." Thesis, Malmö universitet, Malmö högskola, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43868.

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I en tid där digitaliseringen är mer utbredd än någonsin ökar också mängden data som samlas och delas online. I takt med att nya tekniker utvecklas öppnas det upp för nya utmaningar för integritetsfrågor. En aktiv användare online ägnar sig med största sannolikhet också åt ett eller flera sociala medier, där ändamålen ofta innebär att dela med sig av information till andra. Eftersom tekniken Augmented Reality används mer frekvent i några av de största sociala medieapplikationerna blev studiens syfte att undersöka potentiella integritetsproblem med Augmented Reality. Studiens tillvägagångssätt
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Pisani, Paulo Henrique. "Biometrics in a data stream context." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08052017-141153/.

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The growing presence of the Internet in day-to-day tasks, along with the evolution of computational systems, contributed to increase data exposure. This scenario highlights the need for safer user authentication systems. An alternative to deal with this is by the use of biometric systems. However, biometric features may change over time, an issue that can affect the recognition performance due to an outdated biometric reference. This effect can be called as template ageing in the area of biometrics and as concept drift in machine learning. It raises the need to automatically adapt the biometri
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Brobeck, Stefan, and Tobias Folkman. "Biometrics : Attitudes and factors influencing a breakthrough in Sweden." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-148.

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<p>Biometrics is a collection of methods for identifying and authorizing individuals with something they are, or do. It is considered to be one of the most secure technologies for security, both physical and logical. Security is something very important for organizations today, but yet there has been a low interest in investing in biometrics for security in Sweden.</p><p>The purpose of this thesis has been to establish factors to why biometrics has not been implementedto any large extent, even though the technology has been around for long. We have evaluated the attitudes and views of individu
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McNulty, Peggy Sue. "Values issues in biometric data collection." Connect to Electronic Thesis (CONTENTdm), 2009. http://worldcat.org/oclc/525070842/viewonline.

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Ugail, Hassan, and Eyad Elyan. "Efficient 3D data representation for biometric applications." IOS Press, 2007. http://hdl.handle.net/10454/2683.

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Yes<br>An important issue in many of today's biometric applications is the development of efficient and accurate techniques for representing related 3D data. Such data is often available through the process of digitization of complex geometric objects which are of importance to biometric applications. For example, in the area of 3D face recognition a digital point cloud of data corresponding to a given face is usually provided by a 3D digital scanner. For efficient data storage and for identification/authentication in a timely fashion such data requires to be represented using a few parameters
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Lam, Lawrence G. "Digital Health-Data platforms : biometric data aggregation and their potential impact to centralize Digital Health-Data." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106235.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 81).<br>Digital Health-Data is being collected at unprecedented rates today as biometric micro sensors continue to diffuse into our lives in the form of smart devices, wearables, and even clothing. From this data, we hope to learn more about preventative health so that we can spend less money on the doctor. To help users aggre
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Jašková, Jitka. "Zpracování osobních údajů v rámci EU se zřetelem na policejní a justiční spolupráci." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-18247.

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The thesis deals with the approach level, meaning, purpose and benefit of personal data protection in their processing within police and judicial cooperation in the EU. In the introduction the fundamental issues of personal data protection in the context of the EU and the Czech republic are defined, focusing on terminology and explanations of current issues, particularly the area of biometric data and data retention. Extra attention is also given to the conflict of the right to privacy, and the related right to personal data protection and protection of public interests and safety. After that
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Khanna, Tania. "Low power data acquisition for microImplant biometric monitoring of tremors." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78448.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 97-100).<br>In recent years, trends in the medical industry have created a growing demand for implantable medical devices. In particular, the need to provide doctors a means to continuously monitor biometrics over long time scales with increased precision is paramount to efficient healthcare. To make medical implants more attractive, there is a need to reduce their size and power consumption. Smal
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Mai, Guangcan. "Biometric system security and privacy: data reconstruction and template protection." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/544.

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Biometric systems are being increasingly used, from daily entertainment to critical applications such as security access and identity management. It is known that biometric systems should meet the stringent requirement of low error rate. In addition, for critical applications, the security and privacy issues of biometric systems are required to be concerned. Otherwise, severe consequence such as the unauthorized access (security) or the exposure of identity-related information (privacy) can be caused. Therefore, it is imperative to study the vulnerability to potential attacks and identify the
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Livros sobre o assunto "Biometrisk Data"

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Dunstone, Ted, and Neil Yager, eds. Biometric System and Data Analysis. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77627-9.

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Conti, Massimo, Natividad Martínez Madrid, Ralf Seepold, and Simone Orcioni, eds. Mobile Networks for Biometric Data Analysis. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9.

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Kanade, Sanjay G. Enhancing information security and privacy by combining biometrics with cryptography. Morgan & Claypool, 2012.

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D, Woodward John. Biometrics. McGraw-Hill/Osborne, 2003.

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1948-, Jain Anil K., and SpringerLink (Online service), eds. Encyclopedia of Biometrics. Springer US, 2009.

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Neil, Yager, ed. Biometric system and data analysis: Design, evaluation, and data mining. Springer, 2009.

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Kindt, Els J. Privacy and Data Protection Issues of Biometric Applications. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7522-0.

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Levush, Ruth. Biometric data retention for passport applicants and holders. The Law Library of Congress, Global Legal Research Center, 2014.

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1950-, Coats William Sloan, and American Bar Association. Section of Science & Technology Law, eds. The practitioner's guide to biometrics. ABA Section of Science & Technology Law, 2007.

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Rathgeb, Christian. Iris Biometrics: From Segmentation to Template Security. Springer New York, 2013.

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Capítulos de livros sobre o assunto "Biometrisk Data"

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Ding, Sophia, Emilia Nunes, Pascal Bettendorff, and Weyde Lin. "Biometrics." In Trends in Data Protection and Encryption Technologies. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33386-6_22.

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AbstractIn biometrics, physiological characteristics (e.g., fingerprints, facial features, voices) are measured to identify individuals. Since biometry does not share the same characteristics as other authentication techniques, such as passwords or PIN codes, it is widely used as a second-factor authentication. A fully integrated solution offers significant advantages as it aligns biometric hardware, key generation, validation, and storage with the cryptographic provider, providing a coherent control environment. As a result, designing and implementing secure biometric authentication methods r
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Skågeby, Jörgen. "Biometrics." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_26.

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Skågeby, Jörgen. "Biometrics." In Encyclopedia of Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32001-4_26-1.

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Smith, Marcus, and Seumas Miller. "The Future of Biometrics and Liberal Democracy." In Biometric Identification, Law and Ethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90256-8_5.

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AbstractThe first part of this chapter considers future biometrics, with a focus on second generation biometrics that measure physiological patterns. The second discusses the potential biometric future – how the use of biometrics, data and algorithms more broadly, could be used by governments to regulate social and economic interactions. This discussion will draw on the development of credit systems, from those used in commercial online platforms to rate the performance of providers and users, to the more integrated and all-encompassing social credit system (SCS) implemented in China, as an ex
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Smith, Marcus, and Seumas Miller. "Biometric and Non-biometric Integration: Dual Use Dilemmas." In Biometric Identification, Law and Ethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90256-8_4.

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AbstractBiometric identification is now closely integrated with other forms of data, data systems and communications technologies, such as smartphones, metadata and social media, and as the key security feature on smartphones, and by extension, social media accounts, online profiles and identity. For this reason, we consider the interaction between biometric and other forms of identification data, and data systems, building upon the consideration of the main biometrics in the first three chapters. We begin with a general discussion of data systems and integration. This is followed by a discuss
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Wingard, Melissa. "Bolstering Biometric Data." In Digital Transformation in a Post-COVID World. CRC Press, 2021. http://dx.doi.org/10.1201/9781003148715-13.

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Ashbourn, Julian. "Aligning Biometrics with Data." In Guide to Biometrics for Large-Scale Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-467-8_8.

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Kwon, Young-Bin, and Byoung-Jin Han. "DNA Data Format Standardization." In Encyclopedia of Biometrics. Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_9046-1.

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Kwon, Young-Bin, and Byoung-Jin Han. "DNA Data Format Standardization." In Encyclopedia of Biometrics. Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_9046.

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Kevenaar, Tom. "Protection of Biometric Information." In Security with Noisy Data. Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-984-2_11.

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Trabalhos de conferências sobre o assunto "Biometrisk Data"

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Choquehuanca-Chuctaya, Carlos, and Antonio Arroyo-Paz. "The Security of Biometric Data in Devices with Cancellable Biometrics Technology: A Systematic Review of the Literature." In 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE, 2024. http://dx.doi.org/10.1109/esmarta62850.2024.10638938.

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Argaw, Naomi, Diwas Pandey, and Scott Wallace. "Biometric Authentication via Electrocardiogram Traces." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825472.

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Abdeen, Ahmad, Mahmoud Mohanna, Yusuf Mansur, and Elena Battini Sonmez. "Biometric Fraud Detection System." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710778.

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Hernandez, Cristopher, and Mohammad Husain. "Investigating Data Protection Mechanisms for EEG Biometric Authentication." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826073.

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Eladlani, Mohamed Alae-Eddine, Larbi Boubchir, and Khadidja Benallou. "Online Signature Processing for Biometric User Authentication and Identification." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825440.

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Pilepić Stifanich, Ljubica. "TRENDOVI U BIOMETRIJI: METODA AUTENTIFIKACIJE I PRIMJERI KORIŠTENJA U TURIZMU I HOTELIJERSTVU." In 4th International Scientific Conference – EMAN 2020 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eman.2020.411.

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Cilj ovoga rada je istražiti jednu relativno mladu tehnologiju, koja će po svim pokazateljima postati temelj svih sigurnosnih aplikacija u svijetu u budućnosti. Budući da živimo u brzorastućem, informacijskom i digitalnom dobu gdje se svakoga dana razvijaju nove tehnologije, prikazati će se i detaljno analizirati neke biometrijske metode i tehnike koje su danas u upotrebi s posebnim naglaskom na sektor turizma i hotelijerstva. Radi se o primjeni sustava za identifikaciju lica u turizmu s posebnim osvrtom na biometrijsku provjeru putnika u zračnim lukama, mogućnostima biometrijskog plaćanja oti
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Sarangaraja, A. P., D. Rajagopalan, A. Vignesh, and P. Mohamed Fathimal. "Secret Sharing Scheme with Fingerprint Authentication." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-u6em0l.

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Medical imaging is very important in medical diagnosis. X-rays, ultrasound images, CT scans, brain pictures, and patient mri images are examples of images that contain sensitive information. However, poor communication channels and loopholes in hospital and medical centre storage systems risk accessing these images by unauthorised individuals who utilise them for nefarious purposes other than diagnostics. Image encryption is a common strategy for enhancing the integrity of communication and storage channels for protecting medical images from unauthorized access. This task proposes a biometrics
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De A. S. M., Juliana, and Márjory Da Costa-Abreu. "An evaluation of a three-modal hand-based database to forensic-based gender recognition." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/sbseg.2019.13989.

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In recent years, behavioural soft-biometrics have been widely used to improve biometric systems performance. Information like gender, age and ethnicity can be obtained from more than one behavioural modality. In this paper, we propose a multimodal hand-based behavioural database for gender recognition. Thus, our goal in this paper is to evaluate the performance of the multimodal database. For this, the experiment was realised with 76 users and was collected keyboard dynamics, touchscreen dynamics and handwritten signature data. Our approach consists of compare two-modal and one-modal modalitie
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Chudobova, Michaela, Jan Kubicek, Radomir Scurek, and Marek Hutter. "IMPLEMENTATION OF INTELLIGENT BIOMETRIC SYSTEM FOR FACE DETECTION AND CLASSIFICATION." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s07.06.

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This article deals with the design and implementation of an intelligent biometric system that allows the detection and classification of a person's face from static image data and creates a system for evaluating its reliability. In its introductory part, it theoretically describes applied biometrics and biometric systems for security identification and user verification, and also deals with the theory of the description of algorithms for human face detection and recognition. Subsequently, the authors use the MATLAB programming language, which is highly optimized for modern processors and memor
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Bloch, Audra, Nolan Kersten, Eli Short, Parker Stevens, Benjamin Simonson, and Brodie Hoyer. "Physiological Sensing in HALO/HAHO Environment." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-114252.

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Abstract Health risks are a prevalent concern during High-Altitude Low Opening (HALO) and High-Altitude High Opening (HAHO) operations due to the low-oxygen environment. Jumpers must be constantly monitored to ensure safety prior to exiting the aircraft. To objectively monitor the biometrics of jumpers a piece of clothing was developed that would use wearable biometric sensors. Although there have been previous products intended for the same purpose, they were not suitable for the special needs of these operations. After discussing the intention of the product with experts, customer requiremen
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Relatórios de organizações sobre o assunto "Biometrisk Data"

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Saverat, Vincent, and Simon Brawley. Biometric data: Misuse, use, and collation. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/pn731.

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Wilson, C. L., P. J. Grother, and R. Chandramouli. Biometric data specification for personal identity verification. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.sp.800-76.

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Wilson, C. L., P. J. Grother, and R. Chandramouli. Biometric data specification for personal identity verification. National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.sp.800-76-1.

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Podio, Fernando L., Dylan Yaga, and Christofer J. McGinnis. BioCTS 2012: Advanced Conformance Test Architectures and Test Suites for Biometric Data Interchange Formats and Biometric Information Records. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7877.

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Podio, Fernando L., Dylan Yaga, and Mark Jerde. Conformance test architecture for biometric data interchange formats - version beta 2.0. National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7771.

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Bossuroy, Thomas, Clara Delavallade, and Vincent Pons. Biometric Tracking, Healthcare Provision, and Data Quality: Experimental Evidence from Tuberculosis Control. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26388.

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Wu, Jin Chu, and Charles L. Wilson. Using Chebyshev's inequality to determine sample size in biometric evaluation of fingerprint data. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7273.

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Cheng, Su Lan, Ross J. Micheals, and Z. Q. John Lu. Comparison of confidence intervals for large operational biometric data by parametric and non-parametric methods. National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7740.

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Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining
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Newton, Elaine, Gerry Coleman, and Patrice Yuh. Information systems-data format for the interchange of fingerprint, facial, & other biometric information- part 2 :. National Institute of Standards and Technology, 2008. http://dx.doi.org/10.6028/nist.sp.500-275.

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