Improving iris recognition accuracy via cascaded classifiers
文献类型:期刊论文
作者 | Sun, ZN![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
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出版日期 | 2005-08-01 |
卷号 | 35期号:3页码:435-441 |
关键词 | biometrics blob matching cascaded classifiers iris recognition |
英文摘要 | 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. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Interdisciplinary Applications |
研究领域[WOS] | Computer Science |
关键词[WOS] | WAVELET TRANSFORM ; PATTERNS ; PHASE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000230797600017 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9112] ![]() |
专题 | 自动化研究所_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. |
入库方式: OAI收割
来源:自动化研究所
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