Multiple Classifier Based Iris Recognition System
نویسندگان
چکیده
. This paper devoted to an iris recognition system (IRS) designed using 2D-Discrete Cosine Transform (DCT) features and Self Organizing Map (SOM) and Radial Basis Function (RBF) which are an Artificial Neural Network (ANN) used as classifier. DCT is used for feature extraction to capture essential details. SOM and RBF are applied for classification with different functional paradigms. With respect to computational time, RBF network is better than SOM. In case of success rate, SOM is more suitable than RBF for Iris recognize classification.
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