A Novel and Efficient Feature Extraction Method for Iris Recognition

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‐bas...

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Bibliographic Details
Published inETRI journal Vol. 29; no. 3; pp. 399 - 401
Main Authors Ko, Jong‐Gook, Gil, Youn‐Hee, Yoo, Jang‐Hee, Chung, Kyo‐IL
Format Journal Article
LanguageEnglish
Published 한국전자통신연구원 01.06.2007
Subjects
Biometrics
iris recognition
전자/정보통신공학
Online AccessGet full text
ISSN1225-6463
2233-7326
DOI10.4218/etrij.07.0206.0141

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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
G704-001110.2007.29.3.003
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.07.0206.0141