Conference Proceedings

Fifth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2017

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 fie l d. Many physiological characteristics may be used for r eliable identification. T he 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 ident ification accuracy while extract ing muc h fewer features .

Conference Title : Fifth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2017
Conference Date(s) : 02-03 September, 2017
Place : Novotel Zurich City-West Schiffbaustrasse 13, 8005 Zurich, Switzerland
No fo Author(s) : 4
DOI : 10.15224/978-1-63248-131-3-65
Page(s) : 123 - 127
Electronic ISBN : 978-1-63248-131-3
Views : 299   |   Download(s) : 199