Academic literature on the topic 'Biometric identification'

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Journal articles on the topic "Biometric identification"

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Shopon, Md, Sanjida Nasreen Tumpa, Yajurv Bhatia, K. N. Pavan Kumar, and Marina L. Gavrilova. "Biometric Systems De-Identification: Current Advancements and Future Directions." Journal of Cybersecurity and Privacy 1, no. 3 (2021): 470–95. http://dx.doi.org/10.3390/jcp1030024.

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Biometric de-identification is an emerging topic of research within the information security domain that integrates privacy considerations with biometric system development. A comprehensive overview of research in the context of authentication applications spanning physiological, behavioral, and social-behavioral biometric systems and their privacy considerations is discussed. Three categories of biometric de-identification are introduced, namely complete de-identification, auxiliary biometric preserving de-identification, and traditional biometric preserving de-identification. An overview of
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Boda, Aruna. "Multimodal Biometrics for Human Identification using Artificial Intelligence." International Journal of Emerging Science and Engineering (IJESE) 12, no. 1 (2023): 1–6. https://doi.org/10.35940/ijese.A4278.1212123.

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<strong>Abstract-</strong> Multimodal biometric systems combine multiple biometric modalities to enhance the accuracy and security of human identification. Instead of relying on a single biometric trait (such as fingerprint or face), these systems use a combination of different biometric characteristics to provide a more robust and reliable identification process. The key idea behind multimodal biometrics is that the fusion of diverse biometric data can overcome the limitations of individual modalities, resulting in higher accuracy and lower error rates.
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Mohamed, El Beqqal, Azizi Mostafa, and Louis Lanet Jean. "Multimodal access control system combining RFID, fingerprint and facial recognition." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 405–13. https://doi.org/10.11591/ijeecs.v20.i1.pp405-413.

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Monomodal biometry does not constitute an effective measure to meet the desired performance requirements for large-scale applications, due to limitations such as noisy data, restricted degree of freedom and unacceptable error rates. Some of these problems can be solved through multimodal biometric systems that involve using a combination of two or more biometric modalities in a single identification system. Identification based on multiple biometrics represents an emerging trend. The reason for combining different modalities is to improve the recognition rate. In practice, multi-biometric aims
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Mudhafer Taher Al Mossawy, Mais, and Loay E. George. "A digital signature system based on hand geometry - Survey." Wasit Journal of Computer and Mathematics Science 1, no. 1 (2022): 1–14. http://dx.doi.org/10.31185/wjcm.vol1.iss1.18.

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In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services. Nowadays, Biometric recognition is used, it can be used as automatic identification or automatic verification of persons based on their physiological or behavioral characteristics. There are no perfect biometric measurements;each biometry has its advantages and limitations. Each biometry requires specific vital identity to answer the identification or verification question. The suitability of a
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., Himanshi, Trisha Gulati, and Yasha Hasija. "Biometrics in Healthcare." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 2 (2018): 13–17. http://dx.doi.org/10.35121/ijapie201804223.

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Biometrics is the discipline to measure physical human characteristics for the identification and authentication of an individual. Since ancient times, people have used voice, face, and other characteristics for the identification of an individual. With evolution, we take the individual characteristics like fingerprint scans, retina and iris images, etc., as inputs to the computer systems and then store or verify them with existing records. This report discusses biometrics and its recent roles found in the field of healthcare, medicine, genetics, and biotechnology. It includes the concept of b
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Tsibong, Selvia Lem. "Biometric Identification System: A Step Towards Better Crime Control in Cameroon." Scholars International Journal of Law, Crime and Justice 8, no. 06 (2025): 116–28. https://doi.org/10.36348/sijlcj.2025.v08i06.001.

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This study examines biometric identification system as a step towards better crime control in Cameroon, with particular interest to fingerprint biometrics, DNA identification, facial recognition as well as their respective data bases. Cameroon’s biometric identification system is a government initiative aimed at enhancing identity management, security, and access to services through the use of biometric technologies. Fingerprint biometrics, DNA identification and facial recognition technologies are used in Cameroon for crime control. Their respective databases are, however, not well developed
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Ayanaba, Rasheed Abubakar. "Image-assisted Biometric Identification." Advances in Multidisciplinary and scientific Research Journal Publication 1, no. 1 (2022): 131–38. http://dx.doi.org/10.22624/aims/crp-bk3-p22.

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Biometrics is a rapidly developing technology that has seen widespread use in forensics applications such as criminal identification, secure access, and prison security. A biometric system is a pattern recognition system that recognizes a person by determining the authenticity of a physiological and/or behavioural feature that that person possesses. One of the most widely accepted biometrics utilized by humans in their visual interactions is image- assisted based (facial) biometric. Image-assisted biometric identification is the use of face recognition technology in capturing image of a unique
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Madalina, Maria Diac, Irina Damian Simona, Diana Butincu Bianca, Knieling Anton, and Bulgaru Iliescu Diana. "Ethical Aspects of Biometric Identification." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 14, no. 4 (2024): 124–39. https://doi.org/10.18662/brain/14.4/496.

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The term&nbsp;<em>biometrics</em>&nbsp;derives from Greek (<em>bio=life and metrics=measure) and implies the measurement of biological signs</em>. Biometrics is the science of recognizing people based on their physical, behavioral, and physiological attributes, such as fingerprint, face scan, iris, retina, and voice. The present paper aims to develop a study on biometric identification. The major objective of the study is to conduct a survey among the Romanian population on the importance and knowledge of biometric identification methods. This objective was achieved by assessing the knowledge
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Diac, Madalina Maria, Simona Irina Damian, Bianca Diana Butincu, Anton Knieling, and Diana Bulgaru Iliescu. "Ethical Aspects of Biometric Identification." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 14, no. 4 (2023): 124–39. http://dx.doi.org/10.18662/brain/14.4/496.

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The term biometrics derives from Greek (bio=life and metrics=measure) and implies the measurement of biological signs. Biometrics is the science of recognizing people based on their physical, behavioral, and physiological attributes, such as fingerprint, face scan, iris, retina, and voice. The present paper aims to develop a study on biometric identification. The major objective of the study is to conduct a survey among the Romanian population on the importance and knowledge of biometric identification methods. This objective was achieved by assessing the knowledge held by the general populati
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Aruna, Boda, and Dr M. Kezia Joseph. "Multimodal Biometrics for Human Identification usingArtificial Intelligence." International Journal of Emerging Science and Engineering 12, no. 1 (2023): 1–6. http://dx.doi.org/10.35940/ijese.a4278.1212123.

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Multimodal biometric systems combine multiple biometric modalities to enhance the accuracy and security of human identification. Instead of relying on a single biometric trait (such as fingerprint or face), these systems use a combination of different biometric characteristics to provide a more robust and reliable identification process. The key idea behind multimodal biometrics is that the fusion of diverse biometric data can overcome the limitations of individual modalities, resulting in higher accuracy and lower error rates.
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Dissertations / Theses on the topic "Biometric identification"

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Nandakumar, Karthik. "Multibiometric systems fusion strategies and template security /." Diss., Connect to online resource - MSU authorized users, 2008.

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Thesis (Ph. D.)--Michigan State University. Dept. of Computer Science and Engineering, 2008.<br>Title from PDF t.p. (viewed on Mar. 30, 2009) Includes bibliographical references (p. 210-228). Also issued in print.
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Ellmauthaler, Andreas, and Eric Wernsperger. "Biometric Identification of Mice." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1135.

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<p>The identification of laboratory mice has been an important issue in pharmaceutical applications ever since tests have been performed on animals. As biometric identification has become an increasingly important issue over the past decade, attempts are underway to replace traditional identification methods, which are mostly invasive and limited in code space. This thesis discusses a project that aims at identifying mice by biometrically examining the blood vessel patterns in their ears.</p><p>In the proposed algorithm, firstly, the blood vessel structure within the obtained images got enhanc
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Larsen, Tormod Emsell. "Biometric Solutions for Personal Identification." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9677.

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<p>With a high level of accuracy and ease of use, the technology of biometrics has the recent years gained popularity and in many cases replaced traditional identification methods based on passwords or tokens. While fingerprint matching is the most mature and most widely used technique of today, several others exist. Among these is ear recognition, which so far has received scant attention, but still has showed good results in performance. The thesis gives a general presentation of the biometric technology, with its advantages and challenges. In addition, the new and novel technology of ear re
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Igarashi, Kei, Chiyomi Miyajima, Katsunobu Itou, Kazuya Takeda, Fumitada Itakura, and Hüseyin Abut. "Biometric identification using driving behavioral signals." IEEE, 2004. http://hdl.handle.net/2237/6800.

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Hmani, Mohamed Amine. "Use of Biometrics for the Regeneration of Revocable Crypto-biometric Keys." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS013.

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Ce travail de thèse vise à régénérer des clés crypto-biométriques (clés cryptographiques obtenues avec des données biométriques) résistantes aux méthodes de cryptanalyse quantique. Le défi est d'obtenir des clés avec une haute entropie pour avoir un haut niveau de sécurité, sachant que l'entropie contenue dans les références biométriques limite l'entropie de la clé. Notre choix a été d'exploiter la biométrie faciale.Nous avons d'abord créé un système de reconnaissance faciale de pointe basé en utilisant des bases de données publiques. Notre architecture utilise des réseaux de neurones profonds
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Benedikt, Lanthao. "Using 3d Facial Motion for Biometric Identification." Thesis, Cardiff University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523527.

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John, George Jacqueline. "Optimising multimodal fusion for biometric identification systems." Thesis, University of Kent, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418551.

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Haskett, Kevin Joseph. "Iris Biometric Identification Using Artificial Neural Networks." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1947.

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A biometric method is a more secure way of personal identification than passwords. This thesis examines the iris as a personal identifier with the use of neural networks as the classifier. A comparison of different feature extraction methods that include the Fourier transform, discrete cosine transform, the eigen analysis method, and the wavelet transform, is performed. The robustness of each method, with respect to distortion and noise, is also studied.
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Green, Nathan Alan. "Establishing Public Confidence in the Viability of Fingerprint Biometric Technology." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd919.pdf.

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Breedt, Morné. "Integrating biometric authentication into multiple applications." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-08282007-135540.

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Books on the topic "Biometric identification"

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United States. Office of Motor Carrier and Highway Safety., ed. Biometric identification standards research. Federal Highway Administration, Office of Motor Carrier and Highway Safety, 1999.

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Nichols, Ellen R. Biometrics: Theory, applications, and issues. Nova Science Publishers, 2010.

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Vacca, John R. Biometric technologies and verification systems. Butterworth-Heinemann/Elsevier, 2007.

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Smith, Marcus, and Seumas Miller. Biometric Identification, Law and Ethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90256-8.

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Elsworth, John T. Design and performance of biometric system. Nova Science Publishers, 2010.

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Harvey, Schuster, and Metzger Wilfred, eds. Biometrics: Methods, applications and analyses. Nova Science Publishers, 2009.

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Ashbourn, Julian. Practical biometrics: From aspiration to implementation. Springer, 2004.

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W, Mak M., and Lin Shang-Hung 1968-, eds. Biometric authentication: A machine learning approach. Prentice Hall Professional Technical Reference, 2005.

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Willemsen, Clemens. Biometrics: How it works. Progis, 2009.

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Pugliese, Joseph. Biometrics: Bodies, technologies, biopolitics. Routledge, 2010.

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Book chapters on the topic "Biometric identification"

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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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Dhole, Sampada, and Vinayak Bairagi. "Unimodal Biometric Systems." In Multimodal Biometric Identification System. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781032665993-5.

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Wu, Xiangqian, Kuanquan Wang, and David Zhang. "HMMs Based Palmprint Identification." In Biometric Authentication. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_105.

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Yu, Kun, Yunhong Wang, and Tieniu Tan. "Writer Identification Using Dynamic Features." In Biometric Authentication. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_70.

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Smith, Marcus, and Seumas Miller. "The Rise of Biometric Identification: Fingerprints and Applied Ethics." In Biometric Identification, Law and Ethics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90256-8_1.

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AbstractIn the late nineteenth century, it became understood that the patterns on the skin of the fingers were unique and could be used for identification purposes, leading to the development of biometric identification (Smith M, Mann M, Urbas G. Biometrics, crime and security. Routledge, 2018). The ease with which fingerprints can be accessed and recorded, and the ease with which they transfer to surfaces and objects, made them ideal for law enforcement purposes. Today, in digital form, fingerprints and other biometric identification techniques, notably DNA profiles and facial recognition tec
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Zheng, Gang, Shengzhen Ji, Min Dai, and Ying Sun. "ECG Based Identification by Deep Learning." In Biometric Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_54.

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Smith, Marcus, Monique Mann, and Gregor Urbas. "Foundations of biometric identification." In Biometrics, Crime and Security. Routledge, 2018. http://dx.doi.org/10.4324/9781315182056-1.

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Li, Xuzhou, Ying Li, Yilong Yin, and Gongping Yang. "Fingerprint Identification Based on Semi-supervised FSS." In Biometric Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35136-5_14.

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Li, Xiang, Jinyu Gao, Xiaobin Chang, Yuting Mai, and Wei-Shi Zheng. "Person Re-identification with Data-Driven Features." In Biometric Recognition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_58.

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Conference papers on the topic "Biometric identification"

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Petkova, N. "BIOMETRIC IDENTIFICATION AND BIOMETRIC CONTROL – HIGHER INFORMATION SECURITY." In РАДИАЦИОННАТА БЕЗОПАСНОСТ В СЪВРЕМЕННИЯ СВЯТ. Crossref, 2025. https://doi.org/10.34660/inf.2025.58.86.008.

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The modern technological evolution is a real challenge to the field of security of a high degree of difficulty. The unique and unlimited technological possibilities create a significant potential for a quality of life of the highest order. Inevitably, however, they are also associated with a corresponding manifestation of risks, dangers and security threats. Keeping security and safety are increasing the interest in the science of biometrics. The methods it offers reveal an extremely broad vision of methods, approaches, tactics, techniques, strategies for preserving and strengthening security.
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Bueker, Ulrich, Ruediger Schmidt, and Tristan Eickhoff. "Biometric Driver Identification." In SAE World Congress & Exhibition. SAE International, 2008. http://dx.doi.org/10.4271/2008-01-0196.

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Pahuja, Gunjan, and T. N. Nagabhushan. "Biometric authentication & identification through behavioral biometrics: A survey." In 2015 International Conference on Cognitive Computing and Information Processing (CCIP). IEEE, 2015. http://dx.doi.org/10.1109/ccip.2015.7100681.

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Adamek, Milan, Petr Neumann, Dora Lapkova, Martin Pospisilik, and Miroslav Matysek. "Biometric Identification Of Persons." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0460.

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Nilsson, K., T. Rognvaldsson, J. Cameron, and C. Jacobson. "Biometric Identification of Mice." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.329.

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Hube, Jens Peter. "Using Biometric Verification to Estimate Identification Performance." In 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. IEEE, 2006. http://dx.doi.org/10.1109/bcc.2006.4341620.

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"Biometric Identification in Virtual Worlds using Biometric Fusion Techniques." In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004054602630269.

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R. S, Bala Kumar, and Sujitha R. "Efficient Privacy-Preserving Biometric Identification in Cloud Computing." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/ieko8866/ngcesi23p5.

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Benefited from its reliability and convenience, biometric identification has become one of the most popular authentication technologies. Due to the sensitivity of biometric data, various privacy-preserving biometric identification protocols have been proposed. However, the low computational efficiency or the security vulnerabilities of these protocols limit their wide deployment in practice. To further improve the efficiency and enhance the security, in this project, propose two new privacy-preserving biometric identification outsourcing protocols. One mainly utilizes the efficient Householder
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Hashemi, J., and E. Fatemizadeh. "Biometric Identification through Hand Geometry." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630119.

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Khuwaja, G. A., and A. N. Abu-Rezq. "Identification using compressed biometric images." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224844.

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Reports on the topic "Biometric identification"

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Janker, Peter S. United States Homeland Security and National Biometric Identification. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada404488.

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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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O'Toole, Alice J. Person Identification from Video with Multiple Biometric Cues: Benchmarks for Human and Machine Performance. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415169.

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Varastehpour, Soheil, Hamid Sharifzadeh, Iman Ardekani, and Abdolhossein Sarrafzadeh. Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Unitec ePress, 2020. http://dx.doi.org/10.34074/ocds.086.

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Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. Recently, as a new research area, a few methods based on non-facial skin features such as vein patterns have been developed. This literature review paper explores some key biometric systems such as face recognition, iris recognition, fingerprint, and palm print, and discusses their respective advantages and disadvantages; then by providing a comprehensive analysis of these
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Faith, Becky, and Tony Roberts. Managing the Risk and Benefits of Digital Technologies in Social Assistance Provision. Institute of Development Studies (IDS), 2022. http://dx.doi.org/10.19088/basic.2022.025.

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Aid agencies, governments, and donors are expanding investment in the digitisation of their beneficiary identification and registration systems, in digitised systems for cash payments, and in the remote and algorithmic control of humanitarian and social protection programmes. This is happening in ways that may facilitate the move from humanitarian assistance to government provision and may enable the delivery of shock-responsive social protection. Yet humanitarian and social protection actors are increasingly concerned about a range of risks and accountability vacuums associated with the adopt
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Roberts, Tony, Judy Gitahi, Patrick Allam, et al. Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ids.2023.027.

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African governments are spending over 1US$bn per year on digital surveillance technologies which are being used without adequate legal protections in ways that regularly violate citizens’ fundamental human rights. This report documents which companies, from which countries, are supplying which types of surveillance technology to African governments. Without this missing detail, it is impossible to adequately design measures to mitigate and overcome illegal surveillance and violations of human rights. Since the turn of the century, we have witnessed a digitalisation of surveillance that has ena
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New Access Control Technologies: Biometric Identification. Purdue University, 2007. http://dx.doi.org/10.5703/1288284315895.

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