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Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm
| 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
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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