Article: Iris recognition using SVM and BP algorithms
Article Category: Engineering Technology
Author: Eman Abdulmunem,Safana H. Abbas
Iris recognition means to recognize an iris image by using computational algorithms. Identifying people in Iris recognition technology show the highest accuracy. In this paper, the Principal Component Analysis (PCA) is used as a reduction algorithm which gives the reduced iris feature set that is recognized using Support Vector Machine (SVM) and Back-propagation(BP) algorithms. The accuracy of using PCA with SVM is increased from (62%- 90%), while using PCA with BP is decreased from (40%-3.4 %)for the variable number of persons (10-70).
Keyword: Neural Network, Principal Component Analysis , Support Vector Machine , Back-propagation.