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The problem in parameter selection of least squares support vector machine (LS-SVM) restricts the development of LS-SVM, In order to choose the optimal parameters of LS-SVM automatically, we proposed an improved particle swarm optimization (PSO) algorithm which can not only increase the convergent speed but also improve the overall searching ability of the algorithm. The improved PSO algorithm can...
Iris recognition is a kind of novel biometric feature recognition approach which was developed from 1990s and it has attracted more and more attention because of its high accuracy. In this paper, based on researching the existing iris authentication methods, a novel iris feature selection approach based on practical swarm optimization is proposed. We use the improved wavelet modulus maximum to locate...
A novel iris localization method and user-specific automatic iris authentication approach based on feature selection is proposed in this paper. First, two iris sub-regions, where are nearly not occluded by useless parts such as eyelash and eyelid, are segmented as region of interest (ROI). Second, multi-scale Gabor filters are adopted to extract the texture feature of ROI. Third, genetic algorithm...
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