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Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm

by Srinivasa Perumal R., Chandra Mouli P.V.S.S.R.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 7
Year of Publication: 2011
Authors: Srinivasa Perumal R., Chandra Mouli P.V.S.S.R.
10.5120/3841-5342

Srinivasa Perumal R., Chandra Mouli P.V.S.S.R. . Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm. International Journal of Computer Applications. 31, 7 ( October 2011), 51-56. DOI=10.5120/3841-5342

@article{ 10.5120/3841-5342,
author = { Srinivasa Perumal R., Chandra Mouli P.V.S.S.R. },
title = { Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 7 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 51-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number7/3841-5342/ },
doi = { 10.5120/3841-5342 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:33.370644+05:30
%A Srinivasa Perumal R.
%A Chandra Mouli P.V.S.S.R.
%T Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 7
%P 51-56
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris segmentation is an important phase in iris recognition and identifies the accuracy of preprocessing. This paper proposes improved peak detection algorithm to locate the pupil accurately. The modified peak detection algorithm determines the optimal peak which helps for pupil localization. Thresholding is done based on the peak deter- mined. Finally canny edge detector is applied on the binary threshold image to separate the pupil from the image. The proposed method was tested on CASIA and UBIRIS datasets and the results show that the pro- posed method segments the pupil from the given iris image. Subjective and objective evaluation proves the efficacy of the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

Pupil Extraction Iris Segmentation Peak Detection Finite State Process

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