Eyelids, eyelashes detection algorithm and houghtransform method for noise removal in iris recognition

Abstract

<p><span>The biometric system is based on human’s behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person’s life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the iris. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids; eyelashes detection technique and Hough transform method applied on iris image. </span></p>

An iris segmentation using harmony search algorithm and fast circle fitting with blob detection

“…One of such ways is to remove the highest intensity points from the analysed image. Nadia et al [39] used histogram equalization, non maximum suppression, thresholding and then eliminate noise greater than 50 pixels. Unfortunately, even though the authors declared high efficiency of the algorithm in the region of 99.99%, the algorithm was tested on one data base only.…”