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Indexed by:会议论文

Date of Publication:2006-06-21

Included Journals:EI、CPCI-S、Scopus

Volume:2

Page Number:591-591

Key Words:gender recognition; ethnicity recognition; adaboost; gabor filter; SVM classifier

Abstract:In this paper a novel approach for recognizing the gender, ethnicity and age with facial images is proposed. The approach is a novel combination of Gabor filter, Adaboost learning and SVM classifier. Gabor filter banks and Adaboost learning are combined to extract key facial features of each pattern. Then use the Gabor+Adaboost features based SVM classifier to recognize the face image of each pattern. The experiment results in the system based on this approach are reported to show a good performance.