Gabor feature selection for face recognition using improved AdaBoost learning

CASIA OpenIR > 09年以前成果

	Gabor feature selection for face recognition using improved AdaBoost learning
	Shen, LL ; Bai, L ; Bardsley, D ; Wang, YS; Li, SZ; Sun, Z; Tan, T; Pankanti, S ; Chollet, G ; Zhang, D
发表期刊	ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
	2005
卷号	3781 页码:39-49
文章类型	Article
摘要	Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual information into AdaBoost, we propose an improved boosting algorithm in this paper. The proposed method fully examines the redundancy between candidate classifiers and selected classifiers. The classifiers thus selected are both accurate and non-redundant. Experimental results show that the strong classifier learned using the proposed algorithm achieves a lower training error rate than AdaBoost. The proposed algorithm has also been applied to select discriminative Gabor features for face recognition. Even with the simple correlation distance measure and 1-NN classifier, the selected Gabor features achieve quite high recognition accuracy on the FERET database, where both expression and illumination variance exists. When only 140 features are used, the selected features achieve as high as 95.5% accuracy, which is about 2.5% higher than that of features selected by AdaBoost.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	INVARIANT OBJECT RECOGNITION ; ALGORITHMS ; SPACE
收录类别	ISTP ; SCI
语种	英语
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号	WOS:000233430300006
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9161
专题	09年以前成果
作者单位	1.Univ Nottingham, Sch Comp Sci & IT, Nottingham NG7 2RD, England 2.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Shen, LL,Bai, L,Bardsley, D,et al. Gabor feature selection for face recognition using improved AdaBoost learning[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2005,3781:39-49.
APA	Shen, LL.,Bai, L.,Bardsley, D.,Wang, YS.,Li, SZ.,...&Zhang, D.(2005).Gabor feature selection for face recognition using improved AdaBoost learning.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3781,39-49.
MLA	Shen, LL,et al."Gabor feature selection for face recognition using improved AdaBoost learning".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3781(2005):39-49.