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Fake Face Detection and Falsification Detection System Based on Face Recognition  

Kim, Jun Young (홍익대학교 대학원 전기정보제어공학과)
Cho, Seongwon (홍익대학교 전자전기공학부)
Publication Information
Smart Media Journal / v.4, no.4, 2015 , pp. 9-17 More about this Journal
Abstract
Recently the need for advanced security technologies are increasing as the occurrence of intelligent crime is growing fastly. Previous liveness detection and fake face detection methods are required for the improvement of accuracy in order to be put to practical use. In this paper, we propose a new liveness detection method using pupil reflection, and new fake image detection using Adaboost detector. The proposed system detects eyes based on multi-scale Gabor feature vector in the first stage, The template matching plays a role in determining the allowed eye area. And then, the reflected image in the pupil is used to decide whether or not the captured image is live or not. Experimental results indicate that the proposed method is superior to the previous methods in the detection accuracy of fake images.
Keywords
Face detection; Adaboost; EBGM; Template matching; Face Identification;
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Times Cited By KSCI : 1  (Citation Analysis)
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