中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving iris recognition accuracy via cascaded classifiers

文献类型:期刊论文

作者Sun, ZN; Wang, YH; Tan, TN; Cui, JL; Zhang, D; Jain, AK
刊名BIOMETRIC AUTHENTICATION, PROCEEDINGS
出版日期2004
卷号3072页码:418-425
英文摘要As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image details has been verified as an efficient iris signature. But measurements from minutiae are easily affected by noises, which greatly limits the system's accuracy. When the matching score between two intra-class iris images is near the local feature based classifier's (LFC) decision boundary, the poor quality iris images are usually involved in matching. Then a novel iris blob matching algorithm is resorted to make the recognition decision which is more robust than the LFC in the noisy environment. The extensive experimental results demonstrate that the cascading scheme significantly outperforms individual classifier in terms of accuracy and robustness.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
研究领域[WOS]Computer Science ; Imaging Science & Photographic Technology
关键词[WOS]WAVELET TRANSFORM
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000222868800058
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/7974]  
专题自动化研究所_智能感知与计算研究中心
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr Authenticat & Testing, 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]. BIOMETRIC AUTHENTICATION, PROCEEDINGS,2004,3072:418-425.
APA Sun, ZN,Wang, YH,Tan, TN,Cui, JL,Zhang, D,&Jain, AK.(2004).Improving iris recognition accuracy via cascaded classifiers.BIOMETRIC AUTHENTICATION, PROCEEDINGS,3072,418-425.
MLA Sun, ZN,et al."Improving iris recognition accuracy via cascaded classifiers".BIOMETRIC AUTHENTICATION, PROCEEDINGS 3072(2004):418-425.

入库方式: OAI收割

来源:自动化研究所

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