Efficient iris recognition by characterizing key local variations

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	Efficient iris recognition by characterizing key local variations
	Ma, L; Tan, TN; Wang, YH; Zhang, DX
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2004-06-01
卷号	13 期号:6 页码:739-750
关键词	biometrics iris recognition local sharp variations personal identification transient signal analysis wavelet transform
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	WAVELET TRANSFORM ; REPRESENTATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000221466400001
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/7975]
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, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	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.