Proceedings ArticleDOI
Face anti-spoofing with multifeature videolet aggregation
Talha Ahmad Siddiqui,Samarth Bharadwaj,Tejas I. Dhamecha,Akshay Agarwal,Mayank Vatsa,Richa Singh,Nalini K. Ratha +6 more
- pp 1035-1040
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TLDR
A novel multi-feature evidence aggregation method for face spoofing detection that fuses evidence from features encoding of both texture and motion properties in the face and also the surrounding scene regions and provides robustness to different attacks.Abstract:
Biometric systems can be attacked in several ways and the most common being spoofing the input sensor. Therefore, anti-spoofing is one of the most essential prerequisite against attacks on biometric systems. For face recognition it is even more vulnerable as the image capture is non-contact based. Several anti-spoofing methods have been proposed in the literature for both contact and non-contact based biometric modalities often using video to study the temporal characteristics of a real vs. spoofed biometric signal. This paper presents a novel multi-feature evidence aggregation method for face spoofing detection. The proposed method fuses evidence from features encoding of both texture and motion (liveness) properties in the face and also the surrounding scene regions. The feature extraction algorithms are based on a configuration of local binary pattern and motion estimation using histogram of oriented optical flow. Furthermore, the multi-feature windowed videolet aggregation of these orthogonal features coupled with support vector machine-based classification provides robustness to different attacks. We demonstrate the efficacy of the proposed approach by evaluating on three standard public databases: CASIA-FASD, 3DMAD and MSU-MFSD with equal error rate of 3.14%, 0%, and 0%, respectively.read more
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On Improving Temporal Consistency for Online Face Liveness Detection
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Proceedings ArticleDOI
Face Anti-Spoofing Based on Dynamic Color Texture Analysis Using Local Directional Number Pattern
TL;DR: Zhang et al. as discussed by the authors used local directional number pattern (LDN) with derivative-Gaussian mask to capture detailed appearance information resisting illumination variations and noises, which can influence the texture pattern distribution.
Journal ArticleDOI
Face spoofing detection under super-realistic 3D wax face attacks
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MixNet for Generalized Face Presentation Attack Detection
TL;DR: This research has proposed a deep learning-based network termed as MixNet to detect presentation attacks in cross-database and unseen attack settings and shows the effectiveness of the proposed algorithm.
Journal ArticleDOI
A Learnable Gradient operator for face presentation attack detection
Caixun Wang,Bin Yu,Jian Zhou +2 more
TL;DR: Wang et al. as discussed by the authors proposed a learnable gradient operator (LGO) to adaptively learn gradient information in a data-driven way, which is a generalization of existing gradient operators and effectively captures detailed discriminative clues from raw pixels.
References
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Journal ArticleDOI
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Guoying Zhao,Matti Pietikäinen +1 more
TL;DR: A novel approach for recognizing DTs is proposed and its simplifications and extensions to facial image analysis are also considered and both the VLBP and LBP-TOP clearly outperformed the earlier approaches.
Journal ArticleDOI
Enhancing security and privacy in biometrics-based authentication systems
TL;DR: The inherent strengths of biometrics-based authentication are outlined, the weak links in systems employing biometric authentication are identified, and new solutions for eliminating these weak links are presented.
Beyond pixels: exploring new representations and applications for motion analysis
TL;DR: This thesis builds a human-assisted motion annotation system to obtain ground-truth motion, missing in the literature, for natural video sequences, and proposes SIFT flow, a new framework for image parsing by transferring the metadata information from the images in a large database to an unknown query image.
Journal ArticleDOI
Face Spoof Detection With Image Distortion Analysis
Di Wen,Hu Han,Anil K. Jain +2 more
TL;DR: An efficient and rather robust face spoof detection algorithm based on image distortion analysis (IDA) that outperforms the state-of-the-art methods in spoof detection and highlights the difficulty in separating genuine and spoof faces, especially in cross-database and cross-device scenarios.
Proceedings Article
On the effectiveness of local binary patterns in face anti-spoofing
TL;DR: This paper inspects the potential of texture features based on Local Binary Patterns (LBP) and their variations on three types of attacks: printed photographs, and photos and videos displayed on electronic screens of different sizes and concludes that LBP show moderate discriminability when confronted with a wide set of attack types.