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IMPROVED IDENTIFICATION OF IRIS AND EYELASH FEATURES Richard Youmaran, L.P. Xie and Andy Adler
 

Summary: IMPROVED IDENTIFICATION OF IRIS AND EYELASH FEATURES
Richard Youmaran, L.P. Xie and Andy Adler
Carleton University, Ottawa, Ontario
adler@sce.carleton.ca
ABSTRACT
This paper proposes a novel algorithm to improve
localization and segmentation of an iris image. Since in
many practical applications, user cooperation is not
possible, eyelash occlusion can seriously affect the
performance of an iris recognition system. This paper
discusses a robust method for accurate localization and
segmentation of the exact iris region without eyelash
occlusion. Our algorithm uses a logarithmic image
enhancement technique and the Hough transform for iris
localization as well as an intensity gradient based method
for eyelash detection using local region statistics of the
image. Experimental results show the accuracy of our
algorithm leading to exact iris region segmentation.
1. INTRODUCTION
Proper Iris segmentation is essential for various security

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences