Title :
Classification of gender and face based on gradient faces
Author :
Bui, Len ; Tran, Dat ; Huang, Xu ; Chetty, Girija
Author_Institution :
Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT, Australia
Abstract :
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.
Keywords :
face recognition; feature extraction; gradient methods; image classification; support vector machines; extraction; face classification problems; face gender identification; gradient features; support vector machine; Databases; Face; Face recognition; Feature extraction; Kernel; Principal component analysis; Support vector machines;
Conference_Titel :
Visual Information Processing (EUVIP), 2011 3rd European Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4577-0072-9
DOI :
10.1109/EuVIP.2011.6045544
