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학술대회 Iris Recognition using Cumulative SUM based Change Analysis
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저자
고종국, 길연희, 유장희
발행일
200612
출처
International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2006, pp.275-278
DOI
https://dx.doi.org/10.1109/ISPACS.2006.364885
협약과제
06MK1500, 고인식 다중생체인식 전용칩셋 기술, 정교일
초록
Iris recognition has received increasing attention recently. Compared with other biometric features such as fingerprint and face, Iris patterns are more reliable and stable. Iris recognition includes iris imaging, iris segmentation and iris recognition and so on. This paper focus on the iris feature extraction in iris recognition system And this paper proposes novel and efficient iris recognition method that employs cumulative SUM based grey change analysis. Experimental results show that proposed method can be used for human identification in efficient manner. © 2006 IEEE.
KSP 제안 키워드
Biometric features, Change analysis, Iris Recognition System, Iris patterns, Recognition method, cumulative sum, human identification, iris feature extraction, iris segmentation