Research on SVM Iris Recognition Algorithm
Weimin Wang · Modern Computer · 2008
Proposes an iris recognition algorithm based on fractal dimension in feature extraction and support vector machine classification.The iris is 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 is given,and with little feature matrix is extracted.At last,a SVM classifier is 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.