Improving iris recognition accuracy via cascaded classifiers

CASIA OpenIR > 09年以前成果

	Improving iris recognition accuracy via cascaded classifiers
	Sun, ZN; Wang, YH; Tan, TN; Cui, JL
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
	2005-08-01
卷号	35 期号:3 页码:435-441
文章类型	Letter
摘要	As a reliable approach to human identification, iris recognition has received increasing attention in recent years. The most distinguishing feature of an iris image comes from the fine spatial changes of the image structure. So iris pattern representation must characterize the local intensity variations in iris signals. However, the measurements from minutiae are easily affected by noise, such as occlusions by eyelids and eyelashes, iris localization error, nonlinear iris deformations, etc. This greatly limits the accuracy of iris recognition systems. In this paper, an elastic iris blob matching algorithm is proposed to overcome the limitations of local feature based classifiers (LFC). In addition, in order to recognize various iris images efficiently a novel cascading scheme is proposed to combine the LFC and an iris blob matcher. When the LFC is uncertain of its decision, poor quality iris images are usually involved in intra-class comparison. Then the iris blob matcher is resorted to determine the input iris' identity because it is capable of recognizing noisy images. Extensive experimental results demonstrate that the cascaded classifiers significantly improve the system's accuracy with negligible extra computational cost.
关键词	Biometrics Blob Matching Cascaded Classifiers Iris Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	WAVELET TRANSFORM ; PATTERNS ; PHASE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000230797600017
引用统计	被引频次：63[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/173211/9112
专题	09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biomet & Secur Res, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Sun, ZN,Wang, YH,Tan, TN,et al. Improving iris recognition accuracy via cascaded classifiers[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,2005,35(3):435-441.
APA	Sun, ZN,Wang, YH,Tan, TN,&Cui, JL.(2005).Improving iris recognition accuracy via cascaded classifiers.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,35(3),435-441.
MLA	Sun, ZN,et al."Improving iris recognition accuracy via cascaded classifiers".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 35.3(2005):435-441.