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Robust and fast assessment of iris image quality
Wei, ZS; Tan, TN; Sun, ZN; Cui, JL; Zhang, D; Jain, AK
AbstractIris 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 HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235768300062
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Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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.
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