Homomorphic compensation of recaptured image detection based on direction predict
2014; Science Press; Linguagem: Inglês
ISSN
1001-9081
Autores Tópico(s)Advanced Measurement and Detection Methods
ResumoTo resist recaptured image's attack towards face recognition system, an algorithm based on predicting face image's gradient direction was proposed. The contrast of real image and recaptured image was enhanced by adaptive Gauss homomorphic's illumination compensation. A Support Vector Machine( SVM) classifier was chosen for training and testing two kinds of pictures with convoluting 8-direction Sobel operator. Using 522 live and recaptured faces come from domestic and foreign face databases including NUAA Imposter Database and Yale Face Database for experiment, the detection rate reached99. 51%; Taking 261 live face photos using Samsung Galaxy Nexus phone, then remaked them to get 522 samples library, the detection rate was 98. 08% and the time of feature extraction was 167. 04 s. The results show that the proposed algorithm can classify live and recaptured faces with high extraction efficiency.
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