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face anti-spoofing based on color texture analysis
[article]
2015
arXiv
pre-print
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In this work, we propose a new face anti-spoofing method based on color texture analysis. ...
Extensive experiments on two benchmark datasets, namely CASIA face anti-spoofing and Replay-Attack databases, showed excellent results compared to the state-of-the-art. ...
Inspired by the aforementioned observations, we propose, in this work, a new face anti-spoofing method based on color texture analysis. ...
arXiv:1511.06316v1
fatcat:ck6oskwmorfejm53vc4pxmccfu
A Survey on Face Anti-Spoofing Algorithms
2020
Journal of Information Hiding and Privacy Protection
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This paper introduces the research progress of face anti-spoofing algorithm, and divides the existing face anti-spoofing methods into two categories: methods based on manual feature expression and methods ...
based on deep learning. ...
Figure 1：Face anti-spoofing method based on color texture analysis The features extracted from the above methods based on texture features are all low-level, which will inevitably affect the robustness ...
doi:10.32604/jihpp.2020.010467
fatcat:5otomm6a3jcuxbhyorqq3ofgxi
Fake Face Identification
2017
Zenodo
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We propose an efficient and rather robust face spoof detection algorithm based on Image Distortion Analysis (IDA). ...
The proposed approach is extended to multi-frame face spoof detection in videos using a voting based scheme. ...
CLASSIFICATION OF CAPTURED AND RECAPTURED IMAGES TO DETECT PHOTOGRAPH SPOOFING: A new face anti-spoofing approach, which is based on analysis of contrast and texture characteristics of captured and recaptured ...
doi:10.5281/zenodo.242479
fatcat:l6bbmde6wbccrc2kwmmqveltma
Face Anti-Spoofing using Speeded-Up Robust Features and Fisher Vector Encoding
2016
IEEE Signal Processing Letters
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The evaluation of our countermeasure on three challenging benchmark face spoofing databases, namely the CASIA Face Anti-Spoofing Database, the Replay-Attack Database and MSU Mobile Face Spoof Database, ...
In this paper, we propose a novel solution based on describing the facial appearance by applying Fisher Vector encoding on Speeded-Up Robust Features (SURF) extracted from from different color spaces. ...
In order to improve the generalization of texture based anti-spoofing methods, we have proposed the use of color texture analysis in [15] , exploiting the fact that the color gamut of printing and display ...
doi:10.1109/lsp.2016.2630740
fatcat:htgqq3iv4zbiphezcx4rufnody
How far did we get in face spoofing detection?
2018
Engineering applications of artificial intelligence
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The growing use of control access systems based on face recognition shed light over the need for even more accurate systems to detect face spoofing attacks. ...
In this paper, an extensive analysis on face spoofing detection works published in the last decade is presented. ...
published a survey based on a chronological evolution of multimodal anti-spoofing methods. ...
doi:10.1016/j.engappai.2018.04.013
fatcat:j443aw2iozc3bncvapy5sarvde
Detection of Face Spoofing using Color Texture and Edge Features
2020
International journal of recent technology and engineering
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Here a face spoofing detection approach with color texture and edge analysis is presented. ...
Traditional face spoofing detection techniques are not good enough as most of them focus only on the gray scale information and discarding the color information. ...
A color texture analysis based face spoofing detection method was introduced by Z. Boulkenafet et al. [1] . ...
doi:10.35940/ijrte.e1008.0285s20
fatcat:st2fmgl7yjcvrofbanbw2d5gqe
Hybrid Classification for Face Spoof Detection
2021
International Journal for Research in Applied Science and Engineering Technology
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Thus, GLCM (Grey Level Co-occurrence Matrix) is projected for analyzing the texture features in order to detect the face. The attendance of the query image is marked after detecting the face. ...
Abstract: ML (machine learning) is consisted of a method of recognizing face. This technique is useful for the attendance system. ...
There are mainly four categories of face anti-spoofing methods: (1) texture-based methods, (2) motion-based methods, (3) image quality-based methods, (4) depth-based methods. ...
doi:10.22214/ijraset.2021.39085
fatcat:wj5dy3up5jbezcehs24nw4bolu
Generalized face anti-spoofing by detecting pulse from face videos
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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Here we propose a robust anti-spoofing method by detecting pulse from face videos. ...
Finally, we propose a robust cascade system combining two complementary attackspecific spoof detectors, i.e. utilize pulse detection against print attacks and color texture analysis against video attacks ...
Face anti-spoofing techniques relying on texture information might be outwitted because of two reasons: 1) they either fail to find texture differences due to the skin-like texture of the high quality ...
doi:10.1109/icpr.2016.7900300
dblp:conf/icpr/LiKZYP16
fatcat:5py6nr32t5hz3lxppllitpiv3m
Face Liveness Detection Based on Skin Blood Flow Analysis
2017
Symmetry
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live and spoofing face images. ...
The second feature estimates the color distribution in the local regions of face images, instead of whole images, because image quality might be more discriminative in small areas of face images. ...
Image Quality Analysis-Based Methods: Image quality analysis-based methods [15, 16] capture the image quality differences between live and spoofing face images. ...
doi:10.3390/sym9120305
fatcat:nicxnoirgjbb5bvgq2qqozdlca
Face anti-spoofing with joint spoofing medium detection and eye blinking analysis
2019
Computer Optics
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Existing face anti-spoofing methods are mostly based on texture analysis and due to lack of training data either use hand-crafted features or fine-tuned pretrained deep models. ...
In this paper we present a novel CNN-based approach for face anti-spoofing, based on joint analysis of the presence of a spoofing medium and eye blinking. ...
Texture analysis for face anti-spoofing Such methods are based on the assumption that real and fake faces images contain different texture patterns. ...
doi:10.18287/2412-6179-2019-43-4-618-626
fatcat:rz6xdlqixrfsvpan6fnd5abq5u
Face anti-spoofing using Haralick features
2016
2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)
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To mitigate the effect of spoofing attempts, face anti-spoofing approaches aim to distinguish between genuine samples and spoofed samples. ...
Results on the 3DMAD database show that the proposed algorithm achieves state-of-the-art results for both frame-based and video-based approaches, including 100% accuracy on video-based spoofing detection ...
Measure of Correlation 2 -
Table 3 : 3 Frame based face anti-spoofing results with Haralick features on 3DMAD database. ...
doi:10.1109/btas.2016.7791171
dblp:conf/btas/AgarwalSV16
fatcat:em3ruijx5ncuxhmpc4wv3wpxre
Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN)
2019
British Machine Vision Conference
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We show that for face anti-spoofing task, incorporating sample learning into recurrent structures learn more meaningful representations to LSTM with much fewer model parameters. ...
Face biometric systems are vulnerable to spoofing attacks because of criminals who are developing different techniques such as print attack, replay attack, 3D mask attack, etc. to easily fool the face ...
[6] focus on SURF features and apply feature vector (FV) encoding on different color space features. Their work claims that the color features play an important role in face anti-spoofing. ...
dblp:conf/bmvc/MuhammadHMH19
fatcat:q6tlxtgc6jerrkc4ctuugmkwcm
Spoofing in 2D face recognition with 3D masks and anti-spoofing with Kinect
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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Additionally, we analyze Local Binary Patterns based countermeasures using both color and depth data, obtained by Kinect. ...
The problem of detecting face spoofing attacks (presentation attacks) has recently gained a well-deserved popularity. ...
system that is proved to be vulnerable to those attacks, and by giving an analysis on various LBP-based anti-spoofing methods using color and depth images obtained from Kinect. ...
doi:10.1109/btas.2013.6712688
dblp:conf/btas/ErdogmusM13
fatcat:aj7xrwsfrve6tfw2ylxydxdlka
Face Liveness Detection : An Overview
2021
International Journal of Scientific Research in Science and Technology
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Face recognition systems, on the other hand, are vulnerable to spoof assaults by non-real faces. To protect against spoofing, a secure system requires liveness detection. ...
One such technology used for security purposes is "Facial Recognition". Face recognition is a popular biometric technique. ...
This paper introduces a unique and fresh approach in face spoofing detection methodologies by making use of color texture analysis. ...
doi:10.32628/ijsrst21843
fatcat:cmnsenh42ff7bmrlsixsobgndu
A Compact Deep Learning Model for Face Spoofing Detection
[article]
2021
arXiv
pre-print
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The procedure is done on different spoofing datasets such as ROSE-Youtu, SiW and NUAA Imposter datasets. ...
In this paper, instead of completely extracting hand-crafted texture features or relying only on deep neural networks, we address the problem via fusing both wide and deep features in a unified neural ...
The value of color texture descriptors for face anti-spoofing detection have been proved by retrospective studies. In this part our method is mostly based on [4] . ...
arXiv:2101.04756v1
fatcat:2ydd3jentrf5tca7nhmnle65l4
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