ICA/PCA Iris Recognition Method Based on ROI Normalization
Fei He · Journal of Jilin University(Science Edition) · 2010
In view of the shortcomings of redundant data leading to computational complexity of feature extraction after traditional normalization in iris recognition and weakening of main texture information,we introduced the ROI-based iris normalization means and used PCA to extract principal component to reduce the dimension and remove noise further,then trained feature vectors using ICA to make ICA /PCA iris feature extraction algorithm;finally used cosine distance classifier to identify testing samples.Experimental recognition rate was reached up to 98.11%,and recognition time was less than 70 ms.