Video Based Face Verification

Abstract

A method of PCA face verification based fuzzy membership is proposed. Constructing the face gallery set through video streaming, using principal component analysis to feature extraction and designing a classifier based fuzzy membership. To verify face in accordance with the threshold principle of fuzzy pattern recognition. The method is compared to the method of PCA face verification, experimental results shows that the proposed method has higher accuracy and robustness.