Research on approaches of iris texture feature representation for personal identification

Authors:
Yuanning Liu;Senmiao Yuan;Zhen Liu
Affiliations:
Computer Department of Jilin University, Changchun, China;Computer Department of Jilin University, Changchun, China;Faculty of Human Environment, Nagasaki Institute of Applied Science, Nagasaki, Japan
Venue:
ISPA'03 Proceedings of the 2003 international conference on Parallel and distributed processing and applications
Year:
2003

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High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

Three approaches of iris texture feature representation are discussed for personal identification. After several iterative algorithms of SOR, SSOR, PSB, DFP, BFGS are presented, a new methods for feature representation of iris texture is put forward. The results of numerical examples show that these methods prove to be effective..