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Improving iris recognition accuracy via cascaded classifiers
Sun, ZN; Wang, YH; Tan, TN; Cui, JL
2005-08-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
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
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
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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.
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