An improvement method for daugman's iris localization algorithm

Authors:
Zhi-yong Peng;Hong-zhou Li;Jian-ming Liu
Affiliations:
Guilin University of Electronic Technology, Guilin, Guangxi, P.R. China;Guilin University of Electronic Technology, Guilin, Guangxi, P.R. China;Guilin University of Electronic Technology, Guilin, Guangxi, P.R. China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Year:
2011

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Abstract

An improvement method is present in this paper for Daugman's iris localization algorithm. It may make iris localization more rapid and more precise. It may also decrease the computational complexity of the localization algorithm by reducing the search area for the iris boundary center and the radius, In addition, a new method excluding the upper and lower eyelids is proposed. Experiments indicate that the present method have better performance.