DocumentCode
593212
Title
An improved classifier based on nearest feature line
Author
Youfu Du ; Ming Zhao ; Qingxiang Feng
Author_Institution
Sch. of Comput. Sci., Yangtze Univ., Jingzhou, China
fYear
2012
fDate
14-16 Aug. 2012
Firstpage
321
Lastpage
324
Abstract
An improved classifier based on nearest feature line, is proposed in this paper. The new classifier is called as limited nearest feature line (LNFL). The purpose of LNFL is to improve the miss-classification of nearest feature line when the prototypes in NFL are far away from the query sample. A lot of experiments are executed on ORL and AR face database. And the detailed comparison result is given to show that LNFL is better than nearest feature line and nearest neighbor.
Keywords
face recognition; image classification; query processing; classifier; face database; limited nearest feature line; misclassification; nearest neighbor; query sample; Classification algorithms; Databases; Educational institutions; Extrapolation; Face; Face recognition; Prototypes; Face Recognition; Nearest Feature Line; Nearest Neighbor;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location
Yunlin
Print_ISBN
978-1-4673-2587-5
Type
conf
DOI
10.1109/ISIC.2012.6449771
Filename
6449771
Link To Document