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Journal Article A Novel and Efficient Feature Extraction Method for Iris Recognition
Cited 74 time in scopus Download 24 time Share share facebook twitter linkedin kakaostory
Authors
Jong-Gook Ko, Youn-Hee Gil, Jang-Hee Yoo, Kyo-IL Chung
Issue Date
2007-06
Citation
ETRI Journal, v.29, no.3, pp.399-401
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.07.0206.0141
Abstract
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 Keywords
Change analysis, Iris recognition, Recognition method, eye imaging, feature extraction method, human identification, iris segmentation