Fast algorithm for iris localizarion using daugman integro differential operator
The iris localization is a very important step for iris-recognition. In this step concentric circular outer boundaries of the iris and the pupil in eye's image identify. We enhanced Daugman method to locate the iris by using an Average Square Shrinking Approach. The algorithm is tested using ir...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2009
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| _version_ | 1796855487549931520 |
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| author | Shamsi, Mahboubeh Saad, Puteh Ibrahim, Subariah Kenari, Abdolreza Rasouli |
| author_facet | Shamsi, Mahboubeh Saad, Puteh Ibrahim, Subariah Kenari, Abdolreza Rasouli |
| author_sort | Shamsi, Mahboubeh |
| collection | ePrints |
| description | The iris localization is a very important step for iris-recognition. In this step concentric circular outer boundaries of the iris and the pupil in eye's image identify. We enhanced Daugman method to locate the iris by using an Average Square Shrinking Approach. The algorithm is tested using iris images from CASIA database and MMU database. The circle contour sampling parameter has been investigated to find a tradeoff between speed and accuracy of algorithm for different number of points on a circle. The experiments show proposed algorithm can localize the iris faster than other similar methods. Our approach is feasible for online authentication application that need more speed in detection. |
| first_indexed | 2024-03-05T18:29:13Z |
| format | Conference or Workshop Item |
| id | utm.eprints-15180 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:29:13Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | utm.eprints-151802020-07-28T02:45:12Z http://eprints.utm.my/15180/ Fast algorithm for iris localizarion using daugman integro differential operator Shamsi, Mahboubeh Saad, Puteh Ibrahim, Subariah Kenari, Abdolreza Rasouli QA75 Electronic computers. Computer science The iris localization is a very important step for iris-recognition. In this step concentric circular outer boundaries of the iris and the pupil in eye's image identify. We enhanced Daugman method to locate the iris by using an Average Square Shrinking Approach. The algorithm is tested using iris images from CASIA database and MMU database. The circle contour sampling parameter has been investigated to find a tradeoff between speed and accuracy of algorithm for different number of points on a circle. The experiments show proposed algorithm can localize the iris faster than other similar methods. Our approach is feasible for online authentication application that need more speed in detection. 2009 Conference or Workshop Item PeerReviewed Shamsi, Mahboubeh and Saad, Puteh and Ibrahim, Subariah and Kenari, Abdolreza Rasouli (2009) Fast algorithm for iris localizarion using daugman integro differential operator. In: International Conference on Soft Computing and Pattern Recognition (SoCPaR 2009), 2009, Melaka. http://dx.doi.org/ 10.1109/SoCPaR.2009.83 |
| spellingShingle | QA75 Electronic computers. Computer science Shamsi, Mahboubeh Saad, Puteh Ibrahim, Subariah Kenari, Abdolreza Rasouli Fast algorithm for iris localizarion using daugman integro differential operator |
| title | Fast algorithm for iris localizarion using daugman integro differential operator |
| title_full | Fast algorithm for iris localizarion using daugman integro differential operator |
| title_fullStr | Fast algorithm for iris localizarion using daugman integro differential operator |
| title_full_unstemmed | Fast algorithm for iris localizarion using daugman integro differential operator |
| title_short | Fast algorithm for iris localizarion using daugman integro differential operator |
| title_sort | fast algorithm for iris localizarion using daugman integro differential operator |
| topic | QA75 Electronic computers. Computer science |
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