Face Gabor Feature Selection Based on Adaboost

Gang Sun; Chun Guang Suo; Wen Bin Zhang

doi:10.4028/www.scientific.net/AMR.694-697.1906

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Face Gabor Feature Selection Based on Adaboost

Face Gabor Feature Selection Based on Adaboost

Abstract:

Through the extraction of face image Gabor feature, combined with Adaboost for face recognition. According to the characteristics of high dimension Gabor, redundancy is large, the introduction of Adaboost algorithm for feature selection to reduce the dimensions of feature vector, for a large number of Gabor feature selection. At the same time ,using a single positive sample set and several negative sample sets for training method to construct a strong classifier cascade classifier. Testing results in the Yale library proves the validity of the method.