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Related papers: PARAPH: Presentation Attack Rejection by Analyzing…

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Fingerprint-based biometric systems have experienced a large development in the last years. Despite their many advantages, they are still vulnerable to presentation attacks (PAs). Therefore, the task of determining whether a sample stems…

Computer Vision and Pattern Recognition · Computer Science 2019-08-28 Lázaro J. González-Soler , Marta Gomez-Barrero , Leonardo Chang , Airel Pérez-Suárez , Christoph Busch

Presentation attack detection (PAD) is a critical component in secure face authentication. We present a PAD algorithm to distinguish face spoofs generated by a photograph of a subject from live images. Our method uses an image decomposition…

Computer Vision and Pattern Recognition · Computer Science 2022-12-02 Shlok Kumar Mishra , Kuntal Sengupta , Max Horowitz-Gelb , Wen-Sheng Chu , Sofien Bouaziz , David Jacobs

Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person's face. Most of the state-of-the-art presentation attack detection (PAD) systems suffer…

Computer Vision and Pattern Recognition · Computer Science 2021-09-10 Alperen Kantarcı , Hasan Dertli , Hazım Kemal Ekenel

Facial biometrics are widely deployed in smartphone-based applications because of their usability and increased verification accuracy in unconstrained scenarios. The evolving applications of smartphone-based facial recognition have also…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Raghavendra Ramachandra , Jag Mohan Singh , Sushma Venkatesh

Iris-based biometric systems are vulnerable to presentation attacks (PAs), where adversaries present physical artifacts (e.g., printed iris images, textured contact lenses) to defeat the system. This has led to the development of various…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Debasmita Pal , Redwan Sony , Arun Ross

Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from both academia and industry. Although most of the existing…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Zhi Li , Haoliang Li , Xin Luo , Yongjian Hu , Kwok-Yan Lam , Alex C. Kot

The vulnerability of facial recognition systems to face morphing attacks is well known. Many different approaches for morphing attack detection have been proposed in the scientific literature. However, the morphing attack detection…

Cryptography and Security · Computer Science 2020-04-06 Ulrich Scherhag , Christian Rathgeb , Johannes Merkle , Christoph Busch

Accurate face recognition techniques make a series of critical applications possible: policemen could employ it to retrieve criminals' faces from surveillance video streams; cross boarder travelers could pass a face authentication…

Cryptography and Security · Computer Science 2018-03-14 Zhe Zhou , Di Tang , Xiaofeng Wang , Weili Han , Xiangyu Liu , Kehuan Zhang

Biometric has been increasing in relevance these days since it can be used for several applications such as access control for instance. Unfortunately, with the increased deployment of biometric applications, we observe an increase of…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Jose Maureira , Juan Tapia , Claudia Arellano , Christoph Busch

Although face recognition systems have undergone an impressive evolution in the last decade, these technologies are vulnerable to attack presentations (AP). These attacks are mostly easy to create and, by executing them against the system's…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Lazaro Janier Gonzalez-Sole , Juan E. Tapia , Christoph Busch

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…

Smartphone-based contactless fingerphoto authentication has become a reliable alternative to traditional contact-based fingerprint biometric systems owing to rapid advances in smartphone camera technology. Despite its convenience,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-30 Hailin Li , Raghavendra Ramachandra , Mohamed Ragab , Soumik Mondal , Yong Kiam Tan , Khin Mi Mi Aung

Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). As more and more realistic PAs with novel types spring up, traditional FAS…

Computer Vision and Pattern Recognition · Computer Science 2022-09-05 Zitong Yu , Yunxiao Qin , Xiaobai Li , Chenxu Zhao , Zhen Lei , Guoying Zhao

Face recognition systems are increasingly deployed across a wide range of applications, including smartphone authentication, access control, and border security. However, these systems remain vulnerable to presentation attacks (PAs), which…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Manasa , Sushrut Patwardhan , Narayan Vetrekar , Pavan Kumar , R. S. Gad , Raghavendra Ramachandra

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it is necessary to develop robust algorithms for detecting…

Computer Vision and Pattern Recognition · Computer Science 2020-11-25 Zitong Yu , Xiaobai Li , Jingang Shi , Zhaoqiang Xia , Guoying Zhao

Face anti-spoofing is the key to preventing security breaches in biometric recognition applications. Existing software-based and hardware-based face liveness detection methods are effective in constrained environments or designated datasets…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 Yu Tian , Kunbo Zhang , Leyuan Wang , Zhenan Sun

In light of the growing concerns regarding the unauthorized use of facial recognition systems and its implications on individual privacy, the exploration of adversarial perturbations as a potential countermeasure has gained traction.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Jiaming Zhang , Qi Yi , Dongyuan Lu , Jitao Sang

Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multispectral imaging has gained significant attention in this…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Narayan Vetrekar , Raghavendra Ramachandra , Sushma Venkatesh , Jyoti D. Pawar , R. S. Gad

Diversity and unpredictability of artifacts potentially presented to an iris sensor calls for presentation attack detection methods that are agnostic to specificity of presentation attack instruments. This paper proposes a method that…

Computer Vision and Pattern Recognition · Computer Science 2020-08-06 Zhaoyuan Fang , Adam Czajka , Kevin W. Bowyer

Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various cues (e.g., texture, depth and reflection) to distinguish the live faces from the…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Zitong Yu , Xiaobai Li , Xuesong Niu , Jingang Shi , Guoying Zhao