UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1505056


Registration ID:
150519

Page Number

1645-1650

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Title

Iris Recognition in Visible Spectrum by Improving Iris Image Segmentation

Abstract

Iris recognition system of the biometrics discriminate the human being by the unique characteristics of their individuality. Iris Image segmentation, as a part of the iris recognition procedure requires higher level of accuracy and effectiveness to achieve greater security for the system. Additionally, eye images captured in visible spectrum need special segmentation care then NIR bases eye image. Iris segmentation highly depends on the acquire image condition. To achieve this, we have calculate improve results for iris segmentation that consists retinex based contrast enhancement for better accuracy. Isophote curvature base eye center localization is implemented to define region of interests with canny edge detection and circular hough transform to accurately locate the boundaries of iris and pupil. Morphological operation base eyelash detection steps are also implemented which regularize final segmentation results. Experimental results on the sample images of UBIRIS database reveals effectiveness in segmentation as well as recognition rate. It fails on few iris images consider to be resolve in future work. From performance evaluation, it seems clearly that proposed iris segmentation has achieved greater level of recognition rate with effective FAR and FRR for sample sub test dataset.

Key Words

Iris Segmentation, Eye Center Estimation, Iris Recognition, Iris Localization, Pupil boundary detection, Contrast enhancement

Cite This Article

"Iris Recognition in Visible Spectrum by Improving Iris Image Segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1645-1650, May-2015, Available :http://www.jetir.org/papers/JETIR1505056.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Iris Recognition in Visible Spectrum by Improving Iris Image Segmentation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1645-1650, May-2015, Available at : http://www.jetir.org/papers/JETIR1505056.pdf

Publication Details

Published Paper ID: JETIR1505056
Registration ID: 150519
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 1645-1650
Country: Surat, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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