Title :
Face Gender Recognition Based on 2D Principal Component Analysis and Support Vector Machine
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 novel method for solving face gender recognition problem. This method employs 2D Principal Component Analysis, one of the prominent methods for extracting feature vectors, and Support Vector Machine, the most powerful discriminative method for classification. Experiments for the proposed approach have been conducted on FERET data set and the results show that the proposed method could improve the classification rates.
Keywords :
face recognition; feature extraction; principal component analysis; support vector machines; 2D principal component analysis; FERET data set; discriminative method; face gender recognition; support vector machine; Classification algorithms; Face; Face recognition; Feature extraction; Kernel; Principal component analysis; Support vector machines; Face Gender Recognition; Principal Component Analysis; Support Vector Machine;
Conference_Titel :
Network and System Security (NSS), 2010 4th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-8484-3
Electronic_ISBN :
978-0-7695-4159-4
DOI :
10.1109/NSS.2010.19
