DocumentCode :
3475014
Title :
Face recognition using gender information
Author :
Hwang, Wonjun ; Ren, Haibing ; Kim, Hyunwoo ; Kee, Seok-Cheol ; Kim, Junmo
Author_Institution :
Samsung Electron., Seoul, South Korea
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
4129
Lastpage :
4132
Abstract :
In this paper, we propose a novel method using gender information for achieving better performances of face recognition systems. Gender is one of the important factors for recognizing appearance of human faces and there are many studies on gender classifications such. However, the gender information is not actively applied in vision-based face recognition tasks, because we cannot find out human identity using only gender information. Therefore, we design the face recognition system based on the gender-based facial features with global facial features, and moreover, gender-based score normalization method for verification task. For fair evaluations, we use FRGC database known as a large size face image database.
Keywords :
computer vision; face recognition; image classification; principal component analysis; FRGC database; PCA; face recognition systems; gender classifications; gender information; gender-based facial features; gender-based score normalization method; global facial features; human face appearance recognition; large size face image database; principal component analysis; vision-based face recognition tasks; Face detection; Face recognition; Facial features; Humans; Image databases; Linear discriminant analysis; Principal component analysis; Robots; Shape; Spatial databases; Face Recognition; Gender Information; LDA; PCA; Score Normalization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413461
Filename :
5413461
Link To Document :
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