A New Automatic Recognition System of Gender, Age and Ethnicity

Author

Lin, Hui ; Lu, Huchuan ; Zhang, Lihe

Author_Institution

Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9988

Lastpage

9991

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

Keywords

Gabor filters; face recognition; image classification; support vector machines; Adaboost learning; Gabor filter; Gabor+Adaboost features; SVM classifier; age recognition; automatic recognition system; ethnicity recognition; face image recognition; facial feature extraction; gender recognition; Face detection; Face recognition; Filtering; Flowcharts; Gabor filters; Image recognition; Support vector machine classification; Support vector machines; Wavelet domain; Wavelet transforms; Adaboost; Ethnicity Recognition; Gabor filter; Gender Recognition; SVM classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713951

Filename

1713951