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Classification of gender and face based on gradient faces

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4 Author(s)
Len Bui ; Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT, Australia ; Tran, D. ; Xu Huang ; Chetty, G.

This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates.

Published in:

Visual Information Processing (EUVIP), 2011 3rd European Workshop on

Date of Conference:

4-6 July 2011