Novel iris classification algorithm based on complete phase analysis
Yue Ju Xue · Computer Engineering and Applications Journal · 2008
The preprocessed iris image is divided into 64 sub-blocks,and the iris features are extracted respectively.The complete phase information of the features is extracted to establish the feature vector of iris,and then the normalized classification distance of iris samples is obtained by plot operation.The experiment shows that the idea of the algorithm is concise and reasonable,and its recognition effect is better.What’s more,it also offers a new way for iris classification research.