Iris recognition based on independent component analysis and core vector machines
Wang Ying · 2010
To solve the feature extraction problem and recognition problem in the process of iris recognition,an algorithm is proposed,which adopts independent component analysis to extract iris feature and core vector machines to recognize. Normalization and image en-hancement is used to process the iris position which is located in the eye images. Independent component analysis is used to extract stati-stical independent feature and a good result will be received by selecting right feature numbers. The core vector machine is used to classify the iris feature and it can handle large data sets more quickly by compared to support vector machines. Experimental results show that the algorithm is feasible and suitable for iris recognition.