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
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;
Conference_Titel :
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location :
Yunlin
Print_ISBN :
978-1-4673-2587-5
DOI :
10.1109/ISIC.2012.6449771
