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- W3141807568 abstract "An Improved Particle Swarm Optimization(IPSO)algorithm was proposed to solve iris localization.The IPSO adopted two velocity updating strategies to diversify the swarm and to improve its convergence rate.In addition,a mutation operation was used to prevent the IPSO from being trapped into the local optimums.For inner location,twelve edge points were determined by finding the intersection points of six straight lines with the inner boundary.A function related to these twelve points was constructed,and this function was optimized by IPSO.By applying IPSO to this function, a most suitable circle could be found to fit the inner boundary of the iris.With respect to outer location,a template was designed to extract the outer boundary of the iris,and twelve edge points were equally selected from the outer boundary of the iris.By applying IPSO to a function related to thesetwelve points,a most appropriate circle could be obtained to fit the outer boundary of the iris.108iris images of different individuals were chosen from the eye image database of Institute of Automation of Chinese Academy of Sciences(CASIA)to test the performance of our proposed Iris Location Algorithm based on Improved Particle Swarm Optimization(ILA-IPSO)algorithm.Experimental results reveal that the ILA-IPSO performs better than the other two approaches for iris localization.This method uses the least time of iris localization,and obtains the highest success rate." @default.
- W3141807568 created "2021-04-13" @default.
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- W3141807568 date "2014-01-01" @default.
- W3141807568 modified "2023-09-26" @default.
- W3141807568 title "Iris location algorithm based on improved particle swarm optimization" @default.
- W3141807568 hasPublicationYear "2014" @default.
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