Iris segmentation and normalization approach
Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several othe...
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Format: | Article |
Language: | English |
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Penerbit UTM Press
2008
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Online Access: | http://eprints.utm.my/11006/1/MahboubehShamsi2008_IrisSegmentationandNormalizationApproach.pdf |
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author | Shamsi, Mahboubeh Saad, Puteh Rasouli, Abdolreza |
author_facet | Shamsi, Mahboubeh Saad, Puteh Rasouli, Abdolreza |
author_sort | Shamsi, Mahboubeh |
collection | ePrints |
description | Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several other uncontrolled factors. In this work, we enhanced Daugman method to locate the iris and normalized it from polar to Cartesian coordinate. Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. The percentage detection on MMU iris database is 99% and that of CASIA is 98%. Our approach is feasible to produce an iris template for identity identification and biometric watermarking application. |
first_indexed | 2024-03-05T18:19:23Z |
format | Article |
id | utm.eprints-11006 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:19:23Z |
publishDate | 2008 |
publisher | Penerbit UTM Press |
record_format | dspace |
spelling | utm.eprints-110062017-11-01T04:17:23Z http://eprints.utm.my/11006/ Iris segmentation and normalization approach Shamsi, Mahboubeh Saad, Puteh Rasouli, Abdolreza QA75 Electronic computers. Computer science Iris is a desirable biometric representation of an individual for security-related applications. However the iris segmentation and normalization process is challenging due to the presence of eye lashes that occlude the iris, the dilation of pupils due to different light illumination and several other uncontrolled factors. In this work, we enhanced Daugman method to locate the iris and normalized it from polar to Cartesian coordinate. Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. The percentage detection on MMU iris database is 99% and that of CASIA is 98%. Our approach is feasible to produce an iris template for identity identification and biometric watermarking application. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/11006/1/MahboubehShamsi2008_IrisSegmentationandNormalizationApproach.pdf Shamsi, Mahboubeh and Saad, Puteh and Rasouli, Abdolreza (2008) Iris segmentation and normalization approach. Jurnal Teknologi Maklumat, 20 (3). pp. 88-101. ISSN 0128-3790 |
spellingShingle | QA75 Electronic computers. Computer science Shamsi, Mahboubeh Saad, Puteh Rasouli, Abdolreza Iris segmentation and normalization approach |
title | Iris segmentation and normalization approach |
title_full | Iris segmentation and normalization approach |
title_fullStr | Iris segmentation and normalization approach |
title_full_unstemmed | Iris segmentation and normalization approach |
title_short | Iris segmentation and normalization approach |
title_sort | iris segmentation and normalization approach |
topic | QA75 Electronic computers. Computer science |
url | http://eprints.utm.my/11006/1/MahboubehShamsi2008_IrisSegmentationandNormalizationApproach.pdf |
work_keys_str_mv | AT shamsimahboubeh irissegmentationandnormalizationapproach AT saadputeh irissegmentationandnormalizationapproach AT rasouliabdolreza irissegmentationandnormalizationapproach |