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In recent years, fingerprint recognition systems have made remarkable advancements in the field of biometric security as it plays an important role in personal, national and global security. In spite of all these notable advancements, the…

Computer Vision and Pattern Recognition · Computer Science 2020-02-20 B. V. S Anusha , Sayan Banerjee , Subhasis Chaudhuri

Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks. Detecting presentation attacks is not trivial because attackers refine their replication…

Computer Vision and Pattern Recognition · Computer Science 2022-02-16 Marco Micheletto , Giulia Orrù , Roberto Casula , David Yambay , Gian Luca Marcialis , Stephanie C. Schuckers

Nowadays, the adoption of face recognition for biometric authentication systems is usual, mainly because this is one of the most accessible biometric modalities. Techniques that rely on trespassing these kind of systems by using a forged…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Rodrigo Bresan , Allan Pinto , Anderson Rocha , Carlos Beluzo , Tiago Carvalho

A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Javier Galbally , Fernando Alonso-Fernandez , Julian Fierrez , Javier Ortega-Garcia

The diffusion of fingerprint verification systems for security applications makes it urgent to investigate the embedding of software-based presentation attack detection algorithms (PAD) into such systems. Companies and institutions need to…

Cryptography and Security · Computer Science 2021-10-22 Marco Micheletto , Gian Luca Marcialis , Giulia Orrù , Fabio Roli

The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection. The proposed…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Roberto Casula , Marco Micheletto , Giulia Orrù , Rita Delussu , Sara Concas , Andrea Panzino , Gian Luca Marcialis

Fingerprint presentation attack detection (FPAD) is becoming an increasingly challenging problem due to the continuous advancement of attack techniques, which generate `realistic-looking' fake fingerprint presentations. Recently, laser…

Machine Learning · Computer Science 2019-06-07 Hengameh Mirzaalian , Mohamed Hussein , Wael Abd-Almageed

A spoof attack, a subset of presentation attacks, is the use of an artificial replica of a biometric in an attempt to circumvent a biometric sensor. Liveness detection, or presentation attack detection, distinguishes between live and fake…

Computer Vision and Pattern Recognition · Computer Science 2016-09-07 Luca Ghiani , David A. Yambay , Valerio Mura , Gian Luca Marcialis , Fabio Roli , Stephanie A. Schuckers

The vulnerabilities of fingerprint authentication systems have raised security concerns when adapting them to highly secure access-control applications. Therefore, Fingerprint Presentation Attack Detection (FPAD) methods are essential for…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Hailin Li , Raghavendra Ramachandra

Saliency-guided training, which directs model learning to important regions of images, has demonstrated generalization improvements across various biometric presentation attack detection (PAD) tasks. This paper presents its first…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Samuel Webster , Adam Czajka

The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint Presentation Attack Detection (PAD). This edition,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Marco Micheletto , Roberto Casula , Giulia Orrù , Simone Carta , Sara Concas , Simone Maurizio La Cava , Julian Fierrez , Gian Luca Marcialis

The non-intrusive nature and high accuracy of face recognition algorithms have led to their successful deployment across multiple applications ranging from border access to mobile unlocking and digital payments. However, their vulnerability…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Nilay Sanghvi , Sushant Kumar Singh , Akshay Agarwal , Mayank Vatsa , Richa Singh

A secure fingerprint recognition system must contain both a presentation attack (i.e., spoof) detection and recognition module in order to protect users against unwanted access by malicious users. Traditionally, these tasks would be carried…

Computer Vision and Pattern Recognition · Computer Science 2023-05-15 Steven A. Grosz , Kanishka P. Wijewardena , Anil K. Jain

Fingerprint-based recognition has been widely deployed in various applications. However, current recognition systems are vulnerable to spoofing attacks which make use of an artificial replica of a fingerprint to deceive the sensors. In such…

Computer Vision and Pattern Recognition · Computer Science 2018-06-11 Ram Prakash Sharma , Somnath Dey

Multi-modal face anti-spoofing (FAS) aims to detect genuine human presence by extracting discriminative liveness cues from multiple modalities, such as RGB, infrared (IR), and depth images, to enhance the robustness of biometric…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Jun-Xiong Chong , Fang-Yu Hsu , Ming-Tsung Hsu , Yi-Ting Lin , Kai-Heng Chien , Chiou-Ting Hsu , Pei-Kai Huang

Nowadays, fingerprint-based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Jascha Kolberg , Marta Gomez-Barrero , Christoph Busch

In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination sources. The framework unifies the system design for…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Leonidas Spinoulas , Mohamed Hussein , David Geissbühler , Joe Mathai , Oswin G. Almeida , Guillaume Clivaz , Sébastien Marcel , Wael AbdAlmageed

In the rapidly evolving landscape of digital security, biometric authentication systems, particularly facial recognition, have emerged as integral components of various security protocols. However, the reliability of these systems is…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Oleksandr Kuznetsov , Emanuele Frontoni , Luca Romeo , Riccardo Rosati , Andrea Maranesi , Alessandro Muscatello

The rapid evolution of high-end smartphones with advanced high-resolution cameras has resulted in contactless capture of fingerprint biometrics that are more reliable and suitable for verification. Similar to other biometric systems,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Hailin Li , Raghavendra Ramachandra

Facial biometrics has been recently received tremendous attention as a convenient replacement for traditional authentication systems. Consequently, detecting malicious attempts has found great significance, leading to extensive studies in…

Computer Vision and Pattern Recognition · Computer Science 2022-01-03 Arian Sabaghi , Marzieh Oghbaie , Kooshan Hashemifard , Mohammad Akbari