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

fYear

2011

fDate

4-6 July 2011

Firstpage

269

Lastpage

272

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Paris

Print_ISBN

978-1-4577-0072-9

Type

conf

DOI

10.1109/EuVIP.2011.6045544

Filename

6045544

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1822729