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Related papers: Generalizing Fingerprint Spoof Detector: Learning …

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Spoof detectors are classifiers that are trained to distinguish spoof fingerprints from bonafide ones. However, state of the art spoof detectors do not generalize well on unseen spoof materials. This study proposes a style transfer based…

Computer Vision and Pattern Recognition · Computer Science 2019-12-10 Rohit Gajawada , Additya Popli , Tarang Chugh , Anoop Namboodiri , Anil K. Jain

A major limitation to advances in fingerprint spoof detection is the lack of publicly available, large-scale fingerprint spoof datasets, a problem which has been compounded by increased concerns surrounding privacy and security of biometric…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Steven A. Grosz , Anil K. Jain

The primary purpose of a fingerprint recognition system is to ensure a reliable and accurate user authentication, but the security of the recognition system itself can be jeopardized by spoof attacks. This study addresses the problem of…

Computer Vision and Pattern Recognition · Computer Science 2017-12-14 Tarang Chugh , Kai Cao , Anil K. Jain

Typical fingerprint recognition systems are comprised of a spoof detection module and a subsequent recognition module, running one after the other. In this paper, we reformulate the workings of a typical fingerprint recognition system. In…

Computer Vision and Pattern Recognition · Computer Science 2021-07-26 Additya Popli , Saraansh Tandon , Joshua J. Engelsma , Naoyuki Onoe , Atsushi Okubo , Anoop Namboodiri

We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms. To the best of our…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Roberto Casula , Giulia Orrù , Daniele Angioni , Xiaoyi Feng , Gian Luca Marcialis , Fabio Roli

We present a style-transfer based wrapper, called Universal Material Generator (UMG), to improve the generalization performance of any fingerprint spoof detector against spoofs made from materials not seen during training. Specifically, we…

Computer Vision and Pattern Recognition · Computer Science 2019-12-06 Tarang Chugh , Anil K. Jain

Fingerprint recognition and matching is a common form of user authentication. While a fingerprint is unique to each individual, authentication is vulnerable when an attacker can forge a copy of the fingerprint (spoof). To combat these…

Computers and Society · Computer Science 2023-04-12 Riley Kiefer , Jacob Stevens , Ashok Patel

Face spoofing causes severe security threats in face recognition systems. Previous anti-spoofing works focused on supervised techniques, typically with either binary or auxiliary supervision. Most of them suffer from limited robustness and…

Computer Vision and Pattern Recognition · Computer Science 2020-05-25 Chengwei Chen , Wang Yuan , Xuequan Lu , Lizhuang Ma

We present the design and prototype of an open source, optical fingerprint reader, called RaspiReader, using ubiquitous components. RaspiReader, a low-cost and easy to assemble reader, provides the fingerprint research community a seamless…

Computer Vision and Pattern Recognition · Computer Science 2017-08-29 Joshua J. Engelsma , Kai Cao , Anil K. Jain

At present spoofing attacks via which biometric system is potentially vulnerable against a fake biometric characteristic, introduces a great challenge to recognition performance. Despite the availability of a broad range of presentation…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Avantika Singh , Gaurav Jaswal , Aditya Nigam

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

Although the recent advancement in generative models brings diverse advantages to society, it can also be abused with malicious purposes, such as fraud, defamation, and fake news. To prevent such cases, vigorous research is conducted to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-08 Yonghyun Jeong , Doyeon Kim , Pyounggeon Kim , Youngmin Ro , Jongwon Choi

With the increasing integration of smartphones into our daily lives, fingerphotos are becoming a potential contactless authentication method. While it offers convenience, it is also more vulnerable to spoofing using various presentation…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Banafsheh Adami , Sara Tehranipoor , Nasser Nasrabadi , Nima Karimian

We utilize the dynamics involved in the imaging of a fingerprint on a touch-based fingerprint reader, such as perspiration, changes in skin color (blanching), and skin distortion, to differentiate real fingers from spoof (fake) fingers.…

Computer Vision and Pattern Recognition · Computer Science 2019-12-19 Tarang Chugh , Anil K. Jain

Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these systems might be deceived (or "spoofed") and, despite the recent…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 David Menotti , Giovani Chiachia , Allan Pinto , William Robson Schwartz , Helio Pedrini , Alexandre Xavier Falcao , Anderson Rocha

In the field of biometrics, fingerprint recognition systems are vulnerable to presentation attacks made by artificially generated spoof fingerprints. Therefore, it is essential to perform liveness detection of a fingerprint before…

Computer Vision and Pattern Recognition · Computer Science 2021-03-04 Shivang Agarwal , C. Ravindranath Chowdary , Vivek Sourabh

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

Fake fingerprint representation pose a severe threat for fingerprint based authentication systems. Despite advances in presentation attack detection technologies, which are often integrated directly into the fingerprint scanner devices,…

Computer Vision and Pattern Recognition · Computer Science 2020-12-02 Christof Kauba , Luca Debiasi , Andreas Uhl

The vulnerability of automated fingerprint recognition systems to presentation attacks (PA), i.e., spoof or altered fingers, has been a growing concern, warranting the development of accurate and efficient presentation attack detection…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Steven A. Grosz , Tarang Chugh , Anil K. Jain

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
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