English
Related papers

Related papers: PW-MAD: Pixel-wise Supervision for Generalized Fac…

200 papers

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

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

Although biometric facial recognition systems are fast becoming part of security applications, these systems are still vulnerable to morphing attacks, in which a facial reference image can be verified as two or more separate identities. In…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Sobhan Soleymani , Baaria Chaudhary , Ali Dabouei , Jeremy Dawson , Nasser M. Nasrabadi

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

Despite significant advances in facial recognition systems, they remain vulnerable to face presentation attacks. Among them, disguise makeup attacks are particularly challenging, as they use advanced cosmetics, prosthetic components, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Fateme Taraghi , Atefe Aghaei , Mohsen Ebrahimi Moghaddam

Face recognition systems are extremely vulnerable to morphing attacks, in which a morphed facial reference image can be successfully verified as two or more distinct identities. In this paper, we propose a morph attack detection algorithm…

Computer Vision and Pattern Recognition · Computer Science 2021-06-25 Baaria Chaudhary , Poorya Aghdaie , Sobhan Soleymani , Jeremy Dawson , Nasser M. Nasrabadi

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

This study investigates the impact of face image background correction through segmentation on face recognition and morphing attack detection performance in realistic, unconstrained image capture scenarios. The motivation is driven by…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Eduarda Caldeira , Guray Ozgur , Fadi Boutros , Naser Damer

Face Morphing Attack Detection (MAD) is a critical challenge in face recognition security, where attackers can fool systems by interpolating the identity information of two or more individuals into a single face image, resulting in samples…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Eduarda Caldeira , Fadi Boutros , Naser Damer

Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and society. In this…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Raghavendra Ramachandra , Sushma Venkatesh , Guoqiang Li , Kiran Raja

A facial morph is a synthetically created image of a face that looks similar to two different individuals and can even trick biometric facial recognition systems into recognizing both individuals. This attack is known as face morphing…

Computer Vision and Pattern Recognition · Computer Science 2018-07-06 Clemens Seibold , Anna Hilsmann , Peter Eisert

State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100% depending on the difficulty of the protocol. However, the…

Computer Vision and Pattern Recognition · Computer Science 2022-05-30 Stefan Hörmann , Tianlin Kong , Torben Teepe , Fabian Herzog , Martin Knoche , Gerhard Rigoll

Facial verification systems are vulnerable to poisoning attacks that make use of multiple-identity images (MIIs)---face images stored in a database that resemble multiple persons, such that novel images of any of the constituent persons are…

Computer Vision and Pattern Recognition · Computer Science 2019-06-21 Jerone T. A. Andrews , Thomas Tanay , Lewis D. Griffin

Biometric systems are vulnerable to Presentation Attacks (PA) performed using various Presentation Attack Instruments (PAIs). Even though there are numerous Presentation Attack Detection (PAD) techniques based on both deep learning and…

Computer Vision and Pattern Recognition · Computer Science 2023-06-05 Zhe Kong , Wentian Zhang , Feng Liu , Wenhan Luo , Haozhe Liu , Linlin Shen , Raghavendra Ramachandra

Face morphing attacks represent a significant threat to biometric systems as they allow multiple identities to be combined into a single face. While supervised morphing attack detection (MAD) methods have shown promising performance, their…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Diogo J. Paulo , Hugo Proença , João C. Neves

The vulnerability against presentation attacks is a crucial problem undermining the wide-deployment of face recognition systems. Though presentation attack detection (PAD) systems try to address this problem, the lack of generalization and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-22 Anjith George , David Geissbuhler , Sebastien Marcel

Face Recognition Systems (FRS) are vulnerable to morph attacks. A face morph is created by combining multiple identities with the intention to fool FRS and making it match the morph with multiple identities. Current Morph Attack Detection…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Nitish Shukla

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

Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vulnerability to presentation attacks (PAs) limits its reliable…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Zitong Yu , Chenxu Zhao , Zhen Lei

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