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Journal Article A Novel and Efficient Feature Extraction Method for Iris Recognition
Cited 74 time in scopus Download 96 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.