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Spoofing attacks are a threat to modern face recognition systems. In this work we present a simple yet effective liveness detection approach to enhance 2D face recognition methods and make them robust against spoofing attacks. We show that…

Computer Vision and Pattern Recognition · Computer Science 2018-04-20 J. Matias Di Martino , Qiang Qiu , Trishul Nagenalli , Guillermo Sapiro

Lensless cameras, innovatively replacing traditional lenses for ultra-thin, flat optics, encode light directly onto sensors, producing images that are not immediately recognizable. This compact, lightweight, and cost-effective imaging…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Xin Cai , Hailong Zhang , Chenchen Wang , Wentao Liu , Jinwei Gu , Tianfan Xue

Face authentication on mobile end has been widely applied in various scenarios. Despite the increasing reliability of cutting-edge face authentication/verification systems to variations like blinking eye and subtle facial expression,…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Jian Zhang , Ying Tai , Taiping Yao , Jia Meng , Shouhong Ding , Chengjie Wang , Jilin Li , Feiyue Huang , Rongrong Ji

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

Face Recognition (FR) systems are being used in a variety of applications, including road crossings, banking, and mobile banking. The widespread use of FR systems has raised concerns about the safety of face biometrics against spoofing…

Computer Vision and Pattern Recognition · Computer Science 2022-05-24 Soham S. Sarpotdar

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

Active illumination is a prominent complement to enhance 2D face recognition and make it more robust, e.g., to spoofing attacks and low-light conditions. In the present work we show that it is possible to adopt active illumination to…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 J. Matias Di Martino , Fernando Suzacq , Mauricio Delbracio , Qiang Qiu , Guillermo Sapiro

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In…

Computer Vision and Pattern Recognition · Computer Science 2014-03-24 V. Karthikeyan , K. Vijayalakshmi , P. Jeyakumar

Face authentication systems are becoming increasingly prevalent, especially with the rapid development of Deep Learning technologies. However, human facial information is easy to be captured and reproduced, which makes face authentication…

Computer Vision and Pattern Recognition · Computer Science 2018-08-23 Di Tang , Zhe Zhou , Yinqian Zhang , Kehuan Zhang

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

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and matching process. In…

Computer Vision and Pattern Recognition · Computer Science 2014-02-03 V. Karthikeyan , Manjupriya , C. K. Chithra , M. Divya

Face anti-spoofing is crucial for the security of face recognition systems. Learning based methods especially deep learning based methods need large-scale training samples to reduce overfitting. However, acquiring spoof data is very…

Computer Vision and Pattern Recognition · Computer Science 2021-02-11 Jianzhu Guo , Xiangyu Zhu , Jinchuan Xiao , Zhen Lei , Genxun Wan , Stan Z. Li

The widespread deployment of face recognition-based biometric systems has made face Presentation Attack Detection (face anti-spoofing) an increasingly critical issue. This survey thoroughly investigates the face Presentation Attack…

Computer Vision and Pattern Recognition · Computer Science 2020-10-09 Zuheng Ming , Muriel Visani , Muhammad Muzzamil Luqman , Jean-Christophe Burie

As Facial Recognition System(FRS) is widely applied in areas such as access control and mobile payments due to its convenience and high accuracy. The security of facial recognition is also highly regarded. The Face anti-spoofing system(FAS)…

Computer Vision and Pattern Recognition · Computer Science 2023-08-10 Qiushi Guo

This article explores a face recognition alternative which seeks to contribute to resolve current security vulnerabilities in most recognition architectures. Current low cost facial authentication software in the market can be fooled by a…

Computer Vision and Pattern Recognition · Computer Science 2020-11-05 Biel Tura Vecino , Martí Cobos , Philippe Salembier

Biometric technologies are widely adopted in security, legal, and financial systems. Face recognition can authenticate a person based on the unique facial features such as shape and texture. However, recent works have demonstrated the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Poulami Raha , Yeongnam Chae

Face recognition is a widely used biometric approach. Face recognition technology has developed rapidly in recent years and it is more direct, user friendly and convenient compared to other methods. But face recognition systems are…

Computer Vision and Pattern Recognition · Computer Science 2014-05-12 Saptarshi Chakraborty , Dhrubajyoti Das

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

Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping the results high quality. However, they are still…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Yuxuan Han , Junfeng Lyu , Feng Xu

Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices,…

Computer Vision and Pattern Recognition · Computer Science 2014-03-04 Divyarajsinh N. Parmar , Brijesh B. Mehta
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