中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust and fast assessment of iris image quality

文献类型:期刊论文

作者Wei, ZS; Tan, TN; Sun, ZN; Cui, JL; Zhang, D; Jain, AK
刊名ADVANCES IN BIOMETRICS, PROCEEDINGS
出版日期2006
卷号3832页码:464-471
英文摘要Iris recognition is one of the most reliable methods for personal identification. However, not all the iris images obtained from the device are of high quality and suitable for recognition. In this paper, a novel approach for iris image quality assessment is proposed to select clear images in the image sequence. The proposed algorithm uses three distinctive features to distinguish three kinds of poor quality images, i.e. defocus, motion blur and occlusion. Experimental results demonstrate the effectiveness of the algorithm. Clear iris images selected by our method are essential to subsequent iris recognition.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
关键词[WOS]FOCUS
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000235768300062
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9344]  
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, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Wei, ZS,Tan, TN,Sun, ZN,et al. Robust and fast assessment of iris image quality[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832:464-471.
APA Wei, ZS,Tan, TN,Sun, ZN,Cui, JL,Zhang, D,&Jain, AK.(2006).Robust and fast assessment of iris image quality.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832,464-471.
MLA Wei, ZS,et al."Robust and fast assessment of iris image quality".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832(2006):464-471.

入库方式: OAI收割

来源:自动化研究所

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