Title :
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.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713951
