Open AccessFace Anti-Spoofing Method with Blinking Eye and HSV Texture Analysis
Author(s) -
Raden Budiarto Hadiprakoso
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1007/1/012034
Subject(s) - hsl and hsv , computer science , artificial intelligence , spoofing attack , computer vision , hue , face (sociological concept) , texture (cosmology) , color space , pattern recognition (psychology) , image (mathematics) , computer security , medicine , social science , virus , virology , sociology
A face recognition system should recognize faces and detect spoofing attempts with printed face or digital displays. A straightforward method of spoofing prevention is to analyze life signs such as eye blinking. However, this method is vulnerable when dealing with video-based replay attacks. For this reason, this paper proposes a combined method of blink detection with HSV (Hue, Saturation, Value) texture analysis. The anti-spoofing method is designed with two modules, the blinking eye module that evaluates eye openness points and the HSV texture module, which evaluates the texture of the color space from the input media. The test data is taken from the NUAA Photograph Imposter database. The results show that the designed model successfully recognizes 100% spoof-attack without exception.