REAL TIME FACE LIVENESS DETECTION WITH IMAGE QUALITY AND TEXTURE PARAMETER

Ningthoujam Sunita Devi, Dr.K. Hemachandran

Abstract


Face Biometric systems are vulnerable to spoofing attacks. The activeness of face recognition has raised concerns about face spoof attacks, where a printed photo or video of an authorized person face could be used to gain access to facilities or service. Hence, we present a novel approach based on analyzing facial image quality and face image texture for detecting whether there is a live person or a fake person. The proposed approach analyzes the spoof face detection based on video and printout image. Two different feature is extracted (chromatic moment and Local Binary Pattern (LBP)) from the face image. Extracted feature is fed into Classifier, SVM classifier trained for different face spoof attack (i.e. printed photo and played video) is used to distinguish between real and fake face.

Keywords


Spoofing, Liveness Detection, Feature Extraction

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References


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DOI: https://doi.org/10.26483/ijarcs.v8i7.4335

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