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Biometric recognition is a trending technology that uses unique characteristics data to identify or verify/authenticate security applications. Amidst the classically used biometrics, voice and face attributes are the most propitious for…

Contactless fingerprint recognition offers a higher level of user comfort and addresses hygiene concerns more effectively. However, it is also more vulnerable to presentation attacks such as photo paper, paper-printout, and various display…

Computer Vision and Pattern Recognition · Computer Science 2023-11-08 Banafsheh Adami , Nima Karimian

The human face has a high potential for biometric identification due to its many individual traits. At the same time, such identification is vulnerable to biometric copies. These presentation attacks pose a great challenge in unsupervised…

Computer Vision and Pattern Recognition · Computer Science 2021-08-11 Martin Thümmel , Sven Sickert , Joachim Denzler

Computationally efficient, accurate, and privacy-preserving data storage and retrieval are among the key challenges faced by practical deployments of biometric identification systems worldwide. In this work, a method of protected indexing…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Pawel Drozdowski , Fabian Stockhardt , Christian Rathgeb , Dailé Osorio-Roig , Christoph Busch

Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust approach for detecting presentation attacks on finger-vein…

Computer Vision and Pattern Recognition · Computer Science 2019-12-04 Jag Mohan Singh , Sushma Venkatesh , Kiran B. Raja , Raghavendra Ramachandra , Christoph Busch

The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field in the last few years. The next pages present the different presentation attacks that a…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Javier Hernandez-Ortega , Julian Fierrez , Aythami Morales , Javier Galbally

Authentication systems are vulnerable to model inversion attacks where an adversary is able to approximate the inverse of a target machine learning model. Biometric models are a prime candidate for this type of attack. This is because…

Computer Vision and Pattern Recognition · Computer Science 2022-09-23 Sohaib Ahmad , Benjamin Fuller , Kaleel Mahmood

Facial verification systems are vulnerable to poisoning attacks that make use of multiple-identity images (MIIs)---face images stored in a database that resemble multiple persons, such that novel images of any of the constituent persons are…

Computer Vision and Pattern Recognition · Computer Science 2019-06-21 Jerone T. A. Andrews , Thomas Tanay , Lewis D. Griffin

Biometrics security is a dynamic research area spurred by the need to protect personal traits from threats like theft, non-authorised distribution, reuse and so on. A widely investigated solution to such threats consists in processing the…

Cryptography and Security · Computer Science 2018-03-29 Giulia Droandi , Mauro Barni , Riccardo Lazzeretti , Tommaso Pignata

In identity management system, frequently used biometric recognition system needs awareness towards issue of protecting biometric template as far as more reliable solution is apprehensive. In sight of this biometric template protection…

Computer Vision and Pattern Recognition · Computer Science 2013-12-31 Shraddha S. Shinde , Prof. Anagha P. Khedkar

Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iris recognition instead of passwords. In this paper, we survey…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Yomna Safaa El-Din , Mohamed N. Moustafa , Hani Mahdi

A MasterFace is a face image that can successfully match against a large portion of the population. Since their generation does not require access to the information of the enrolled subjects, MasterFace attacks represent a potential…

Computer Vision and Pattern Recognition · Computer Science 2022-04-04 Philipp Terhörst , Florian Bierbaum , Marco Huber , Naser Damer , Florian Kirchbuchner , Kiran Raja , Arjan Kuijper

Biometric data is considered to be very private and highly sensitive. As such, many methods for biometric template protection were considered over the years -- from biohashing and specially crafted feature extraction procedures, to the use…

Cryptography and Security · Computer Science 2026-01-27 Eliron Rahimi , Margarita Osadchy , Orr Dunkelman

The last decade has brought forward many great contributions regarding presentation attack detection for the domain of finger and hand vein biometrics. Among those contributions, one is able to find a variety of different attack databases…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Johannes Schuiki , Michael Linortner , Georg Wimmer , Andreas Uhl

The rapid advancement of authentication systems and their increasing reliance on biometrics for faster and more accurate user verification experience, highlight the critical need for a reliable framework to evaluate the suitability of…

Machine Learning · Computer Science 2025-08-20 Rouqaiah Al-Refai , Pankaja Priya Ramasamy , Ragini Ramesh , Patricia Arias-Cabarcos , Philipp Terhörst

Protecting digital identities of human face from various attack vectors is paramount, and face anti-spoofing plays a crucial role in this endeavor. Current approaches primarily focus on detecting spoofing attempts within individual frames…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Xiang Xu , Tianchen Zhao , Zheng Zhang , Zhihua Li , Jon Wu , Alessandro Achille , Mani Srivastava

Automatically verifying the identity of a person by means of biometrics is an important application in day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several…

When compared to unimodal systems, multimodal biometric systems have several advantages, including lower error rate, higher accuracy, and larger population coverage. However, multimodal systems have an increased demand for integrity and…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Veeru Talreja , Matthew Valenti , Nasser Nasrabadi

Biometric authentication is becoming more prevalent for secured authentication systems. However, the biometric substances can be deceived by the imposters in several ways. Among other imposter attacks, print attacks, mask attacks, and…

Cryptography and Security · Computer Science 2023-12-04 Prosenjit Chatterjee , Alex Yalchin , Joseph Shelton , Kaushik Roy , Xiaohong Yuan , Kossi D. Edoh

Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security or…

Computer Vision and Pattern Recognition · Computer Science 2020-12-11 Eklavya Sarkar , Pavel Korshunov , Laurent Colbois , Sébastien Marcel