Segmentation Approach for Iris Recognition in Less Constrained Environment

Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 335)

Abstract

As demand for security is increasing day by day, the methods for security are also improving to meet the challenging needs for security. Iris recognition is one of the emerging technologies to be used for security. The most challenging step in the process of iris recognition is iris localization as accuracy in iris localization significantly affects further processing of feature extraction and template matching stages. Traditional algorithms accurately locate iris as iris images were taken under ideal conditions. But their accuracy is affected when eye images are taken in unconstrained environment. The proposed algorithm starts with the extraction of iris even in the presence of specular highlights, eyelids, eyelashes and pupil. The accuracy for the proposed work has enhanced due to the use of intuitionistic fuzzy-based clustering for iris segmentation on UBIRIS v2 images.

Keywords

Intuitionistic fuzzy Fuzzy C-mean clustering Iris recognition and biometric 
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Notes

Acknowledgments

I would like to thank God first and all the people who are involved in the fulfilment of this research work.

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.CSE Department UIETPanjab UniversityChandigarhIndia

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