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Conference Paper Iris Recognition using Cumulative SUM based Change Analysis
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Authors
Jong Gook Ko, Yeon Hee Gil, Jang Hee Yoo
Issue Date
2006-12
Citation
International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2006, pp.275-278
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ISPACS.2006.364885
Abstract
Iris recognition has received increasing attention recently. Compared with other biometric features such as fingerprint and face, Iris patterns are more reliable and stable. Iris recognition includes iris imaging, iris segmentation and iris recognition and so on. This paper focus on the iris feature extraction in iris recognition system And this paper proposes novel and efficient iris recognition method that employs cumulative SUM based grey change analysis. Experimental results show that proposed method can be used for human identification in efficient manner. © 2006 IEEE.
KSP Keywords
Biometric features, Change analysis, Iris Recognition System, Iris patterns, Recognition method, cumulative sum, human identification, iris feature extraction, iris segmentation