Human Identification Using Multi region PCA for Iris Recognition

László Lefkovits, Septimiu Crisan, Simina Emerich, Szidónia Lefkovits · 2017

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.

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