Release Time:2019-03-12  Hits:

Indexed by: Conference Paper

Date of Publication: 2006-06-21

Included Journals: Scopus、CPCI-S、EI

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.