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We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. Compared to widely studied 2D face presentation attacks (e.g. printed photos and video replays), 3D face…

Computer Vision and Pattern Recognition · Computer Science 2019-10-15 Shan Jia , Xin Li , Chuanbo Hu , Zhengquan Xu

The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts). This work presents a new approach in iris…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Andrey Kuehlkamp , Allan Pinto , Anderson Rocha , Kevin Bowyer , Adam Czajka

Face anti-spoofing (FAS) is a vital component of remote biometric authentication systems based on facial recognition, increasingly used across web-based applications. Among emerging threats, video injection attacks -- facilitated by…

Watermarking is an essential technique for embedding an identifier (i.e., watermark message) within digital images to assert ownership and monitor unauthorized alterations. In face recognition systems, watermarking plays a pivotal role in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Yuguang Yao , Anil Jain , Sijia Liu

Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks, which involve blending multiple face images to create a…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Iurii Medvedev , Joana Pimenta , Nuno Gonçalves

Facial expression recognition (FER) has always been a challenging issue in computer vision. The different expressions of emotion and uncontrolled environmental factors lead to inconsistencies in the complexity of FER and variability of…

Computer Vision and Pattern Recognition · Computer Science 2018-03-02 Tianyuan Chang , Guihua Wen , Yang Hu , JiaJiong Ma

Facial expression recognition (FER) is a crucial part of human-computer interaction. Existing FER methods achieve high accuracy and generalization based on different open-source deep models and training approaches. However, the performance…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Gianmarco Ipinze Tutuianu , Yang Liu , Ari Alamäki , Janne Kauttonen

Previous deepfake detection methods mostly depend on low-level textural features vulnerable to perturbations and fall short of detecting unseen forgery methods. In contrast, high-level semantic features are less susceptible to perturbations…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Ziyuan Fang , Hanqing Zhao , Tianyi Wei , Wenbo Zhou , Ming Wan , Zhanyi Wang , Weiming Zhang , Nenghai Yu

Realistic age-progressed photos provide invaluable biometric information in a wide range of applications. In recent years, deep learning-based approaches have made remarkable progress in modeling the aging process of the human face.…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Yao Xiao , Yijun Zhao

In recent year, tremendous strides have been made in face detection thanks to deep learning. However, most published face detectors deteriorate dramatically as the faces become smaller. In this paper, we present the Small Faces Attention…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Shi Luo , Xiongfei Li , Rui Zhu , Xiaoli Zhang

Face masks have become one of the main methods for reducing the transmission of COVID-19. This makes face recognition (FR) a challenging task because masks hide several discriminative features of faces. Moreover, face presentation attack…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Meiling Fang , Naser Damer , Florian Kirchbuchner , Arjan Kuijper

In identity management system, commonly used biometric recognition system needs attention towards issue of biometric template protection as far as more reliable solution is concerned. In view of this biometric template protection algorithm…

Computer Vision and Pattern Recognition · Computer Science 2014-01-03 Shraddha S. Shinde , Prof. Anagha P. Khedkar

Scientific fields that are interested in faces have developed their own sets of concepts and procedures for understanding how a target model system (be it a person or algorithm) perceives a face under varying conditions. In computer vision,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-23 Brandon RichardWebster , So Yon Kwon , Christopher Clarizio , Samuel E. Anthony , Walter J. Scheirer

Face recognition has achieved unprecedented results, surpassing human capabilities in certain scenarios. However, these automatic solutions are not ready for production because they can be easily fooled by simple identity impersonation…

Computer Vision and Pattern Recognition · Computer Science 2019-04-18 Daniel Pérez-Cabo , David Jiménez-Cabello , Artur Costa-Pazo , Roberto J. López-Sastre

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

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 recognition has advanced considerably with the availability of large-scale labeled datasets. However, how to further improve the performance with the easily accessible unlabeled dataset remains a challenge. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Haiming Yu , Yin Fan , Keyu Chen , He Yan , Xiangju Lu , Junhui Liu , Danming Xie

Biometric verification has been widely deployed in current authentication solutions as it proves the physical presence of individuals. To protect the sensitive biometric data in such systems, several solutions have been developed that…

Cryptography and Security · Computer Science 2021-01-27 Amina Bassit , Florian Hahn , Joep Peeters , Tom Kevenaar , Raymond N. J. Veldhuis , Andreas Peter

This paper proposes a method for utilizing thermal features of the hand for the purpose of presentation attack detection (PAD) that can be employed in a hand biometrics system's pipeline. By envisaging two different operational modes of our…

Computer Vision and Pattern Recognition · Computer Science 2018-09-13 Ewelina Bartuzi , Mateusz Trokielewicz

The extensive utilization of biometric authentication systems have emanated attackers / imposters to forge user identity based on morphed images. In this attack, a synthetic image is produced and merged with genuine. Next, the resultant…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Rudresh Dwivedi , Ritesh Kumar , Deepak Chopra , Pranay Kothari , Manjot Singh