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Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel and robust features for anti-spoofing are proposed. The…

Computer Vision and Pattern Recognition · Computer Science 2018-03-14 Xiao Song , Xu Zhao , Tianwei Lin

In recent years, face biometric security systems are rapidly increasing, therefore, the presentation attack detection (PAD) has received significant attention from research communities and has become a major field of research. Researchers…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Seyedkooshan Hashemifard , Mohammad Akbari

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

Face anti-spoofing is critical to the security of face recognition systems. Depth supervised learning has been proven as one of the most effective methods for face anti-spoofing. Despite the great success, most previous works still…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Zezheng Wang , Zitong Yu , Chenxu Zhao , Xiangyu Zhu , Yunxiao Qin , Qiusheng Zhou , Feng Zhou , Zhen Lei

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

Fingerprint capture systems can be fooled by widely accessible methods to spoof the system using fake fingers, known as presentation attacks. As biometric recognition systems become more extensively relied upon at international borders and…

Image and Video Processing · Electrical Eng. & Systems 2021-04-09 Richard Plesh , Keivan Bahmani , Ganghee Jang , David Yambay , Ken Brownlee , Timothy Swyka , Peter Johnson , Arun Ross , Stephanie Schuckers

We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. When compared with widely studied 2D face presentation attacks, 3D face spoofing attacks are more challenging…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Shan Jia , Xin Li , Chuanbo Hu , Guodong Guo , Zhengquan Xu

Face recognition systems are frequently subjected to a variety of physical and digital attacks of different types. Previous methods have achieved satisfactory performance in scenarios that address physical attacks and digital attacks,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Xianhua He , Dashuang Liang , Song Yang , Zhanlong Hao , Hui Ma , Binjie Mao , Xi Li , Yao Wang , Pengfei Yan , Ajian Liu

Face anti-spoofing algorithms play a pivotal role in the robust deployment of face recognition systems against presentation attacks. Conventionally, full facial images are required by such systems to correctly authenticate individuals, but…

Computer Vision and Pattern Recognition · Computer Science 2024-08-26 Vaibhav Sundharam , Abhijit Sarkar , A. Lynn Abbott

Anomaly detection-based spoof attack detection is a recent development in face Presentation Attack Detection (fPAD), where a spoof detector is learned using only non-attacked images of users. These detectors are of practical importance as…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Yashasvi Baweja , Poojan Oza , Pramuditha Perera , Vishal M. Patel

Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be obtained when it is trained with face images from different…

Computer Vision and Pattern Recognition · Computer Science 2020-09-30 Rui Shao , Pramuditha Perera , Pong C. Yuen , Vishal M. Patel

In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems. Here, we propose an efficient face presentation attack detection…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Akinori F. Ebihara , Kazuyuki Sakurai , Hitoshi Imaoka

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

Identity authentication is the process of verifying one's identity. There are several identity authentication methods, among which biometric authentication is of utmost importance. Facial recognition is a sort of biometric authentication…

Computer Vision and Pattern Recognition · Computer Science 2022-12-15 Matineh Pooshideh

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

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

Face signatures, including size, shape, texture, skin tone, eye color, appearance, and scars/marks, are widely used as discriminative, biometric information for access control. Despite recent advancements in facial recognition systems,…

Computer Vision and Pattern Recognition · Computer Science 2021-11-05 Jennifer Hamblin , Kshitij Nikhal , Benjamin S. Riggan

Face recognition systems are often used for biometric authentication. Nevertheless, it is known that without any protective measures, face recognition systems are vulnerable to presentation attacks. To tackle this security problem, methods…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Mathias Ibsen , Loris Tim Ide , Christian Rathgeb , Christoph Busch

Face Presentation Attack Detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been made in designing face PAD methods, developing a model that can generalize well to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Usman Muhammad , Jorma Laaksonen , Djamila Romaissa Beddiar , Mourad Oussalah

Face anti-spoofing (FAS) and adversarial detection (FAD) have been regarded as critical technologies to ensure the safety of face recognition systems. However, due to limited practicality, complex deployment, and the additional…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Jiawei Chen , Xiao Yang , Yinpeng Dong , Hang Su , Zhaoxia Yin
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