Journals Proceedings

International Journal of Advances in Computer Science and Its Applications

Human Identification Using Multi-region PCA for Iris Recognition

Author(s) : LASZLO LEFKOVITS , SEPTIMIU CRISAN , SIMINA EMERICH , SZIDONIA LEFKOVITS

Abstract

Biometric identification is a constantly growing field. Many physiological characteristics may be used for reliable identification. The most secure among them uses the iris pattern, because it is unique and stable from eye to eye and from person to person. The approach presented in this article guides through every step of iris-based human identification system from eye localization to iris extraction and identification using PCA features. The novelty of this paper consists of the application of PCA on multi-region iris images. The PCA identification based on multiple regions of interest (ROI) allows higher identification accuracy while extracting much fewer features

No fo Author(s) : 4
Page(s) : 346-350
Electronic ISSN : 2250 - 3765
Volume 8 : Issue 1
Views : 235   |   Download(s) : 139