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Efficient iris recognition by characterizing key local variations
Ma, L; Tan, TN; Wang, YH; Zhang, DX
2004-06-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号13期号:6页码:739-750
文章类型Article
摘要Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification, and at the same time, the difficulty in effectively representing such details in an image. This paper describes an efficient algorithm for iris recognition by characterizing key local variations. The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image structure, are utilized to represent the characteristics of the iris. The whole procedure of feature extraction includes two steps: 1) a set of one-dimensional intensity signals is constructed to effectively characterize the most important information of the original two-dimensional image; 2) using a particular class of wavelets, a position sequence of local sharp variation points in such signals is recorded as features. We also present a fast matching scheme based on exclusive OR operation to compute the similarity between a pair of position sequences. Experimental results on 2 255 iris images show that the performance of the proposed method is encouraging and comparable to the best iris recognition algorithm found in the current literature.
关键词Biometrics Iris Recognition Local Sharp Variations Personal Identification Transient Signal Analysis Wavelet Transform
WOS标题词Science & Technology ; Technology
关键词[WOS]WAVELET TRANSFORM ; REPRESENTATION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000221466400001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7975
专题智能感知与计算研究中心
作者单位Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
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Ma, L,Tan, TN,Wang, YH,et al. Efficient iris recognition by characterizing key local variations[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2004,13(6):739-750.
APA Ma, L,Tan, TN,Wang, YH,&Zhang, DX.(2004).Efficient iris recognition by characterizing key local variations.IEEE TRANSACTIONS ON IMAGE PROCESSING,13(6),739-750.
MLA Ma, L,et al."Efficient iris recognition by characterizing key local variations".IEEE TRANSACTIONS ON IMAGE PROCESSING 13.6(2004):739-750.
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