Iris Recognition Algorithm Based on SVM
Weimin Wang · Journal of Liaoning University of Petroleum & Chemical Technology · 2008
Based on fractal dimension in feature extraction and support vector machine(SVM) classification,an iris recognition algorithm was presented.The iris was located by a circle detector according to mathematical morphology and mapped to polar coordinates space.Then a new definition of fractal dimension-extreme value weighted mean fractal dimension was given,and the feature of iris was extracted.At last,a SVM classifier was used in matching stage.The experimental results show that the system based on extreme value weighted mean fractal dimension in feature extraction and SVM classification is precise and rapid.