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Adaptive Iris Segmentation (Abiyev, Rahib Hidayat.)
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Adaptive Iris Segmentation
Author:
Abiyev, Rahib Hidayat. Search Author in Amazon Books

Publisher:
Springer-Verlag Berlin
Edition:
2009.
Classification:
QA403.3
Detailed notes
    - In this paper an adaptive iris segmentation algorithm is presented. In the proposed algorithm Otsu Threshold value, average gray level of the image, image size, Hough-Circle search are used for adaptive segmentation of irises. Otsu threshold is used for selecting threshold value in order to determine pupil location. Then Hough circle is utilized for pupillary boundary, and finally gradient search is used for the limbic boundary detection. The algorithm achieved 98% segmentation rate in batch processing of the CARA version 1 (756 Images) and version 3 (CASIA-IrisV3-Interval, 2655 Images) databases.
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Status
Library
Section
EOL-23
Item available
NEU Grand LibraryOnline (QA403.3 .A33 2009)
Online electronic

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