Crossref DOI: 10.31695/IJERAT
ISSN: 2454-6135
Email: editorijerat@gmail.com

International Journal of Engineering Research and Advanced Technology (IJERAT)

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Article: Iris recognition using SVM and BP algorithms

Article Category: Engineering Technology

DOI: 10.31695/IJERAT.2018.3262

Pages: 30-39

Author: Eman Abdulmunem,Safana H. Abbas

Abstract:

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.

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