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학술지 A Novel and Efficient Feature Extraction Method for Iris Recognition
Cited 73 time in scopus Download 8 time Share share facebook twitter linkedin kakaostory
저자
고종국, 길연희, 유장희, 정교일
발행일
200706
출처
ETRI Journal, v.29 no.3, pp.399-401
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.07.0206.0141
협약과제
06MK1500, 고인식 다중생체인식 전용칩셋 기술, 정교일
초록
With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner.
KSP 제안 키워드
Change analysis, Iris recognition, Recognition method, eye imaging, feature extraction method, human identification, iris segmentation