Open AccessA Novel and Efficient Feature Extraction Method for Iris Recognition
Author(s) -
Ko JongGook,
Gil YounHee,
Yoo JangHee,
Chung KyoIL
Publication year - 2007
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.07.0206.0141
Subject(s) - iris recognition , iris (biosensor) , artificial intelligence , computer science , segmentation , pattern recognition (psychology) , identification (biology) , feature extraction , computer vision , feature (linguistics) , biometrics , linguistics , philosophy , botany , biology
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.