Paper Info
Title
Face recognition using gender information
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.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5413461
ICIP
Keywords
Field
DocType
frgc database,face recognition,gender-based facial features,global facial feature,gender-based score normalization method,large size face image database,vision-based face recognition tasks,large size face image,global facial features,visionbased face recognition task,gender information,gender-based facial feature,face recognition systems,human face appearance recognition,image classification,gender classification,lda,gender classifications,pca,score normalization,computer vision,face recognition system,human face,principal component analysis,mathematical model,accuracy,face,feature extraction
Facial recognition system,Computer vision,Normalization (statistics),Three-dimensional face recognition,Pattern recognition,Computer science,Feature extraction,Speech recognition,Artificial intelligence,Image database,Contextual image classification,Principal component analysis
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
2
PageRank 
References 
Authors
0.43
6
5
Name
Order
Citations
PageRank
Wonjun Hwang117418.82
Haibing Ren2698.32
Hyunwoo Kim3704.52
Seok-cheol Kee412913.94
Junmo Kim547642.50