An efficient iris image thresholding based on binarization threshold in black hole search method
In iris recognition system, the segmentation stage is one of the most important stages where the iris is located and then further segmented into outer and lower boundary of iris region. Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. The aim...
| Main Authors: | , , , , , |
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| Format: | Article |
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Science Publishing Corporation
2018
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| Online Access: | http://eprints.uthm.edu.my/4522/ |
| _version_ | 1848888310047440896 |
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| author | Danlami, Muktar Ramli, Sofia Najwa Jemain, Nur Izzah Syahira Pindar, Zahraddeen Jamel, Sapiee Deris, Mustafa Mat |
| author_facet | Danlami, Muktar Ramli, Sofia Najwa Jemain, Nur Izzah Syahira Pindar, Zahraddeen Jamel, Sapiee Deris, Mustafa Mat |
| author_sort | Danlami, Muktar |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | In iris recognition system, the segmentation stage is one of the most important stages where the iris is located and then further segmented into outer and lower boundary of iris region. Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. The aim of this research is to identify the suitable threshold value in order to locate the outer and lower boundaries using Black Hole Search Method. We chose these methods because of the ineffient features of the other methods in image indetification and verifications. The experiment was conducted using three data set; UBIRIS, CASIA and MMU because of their superiority over others. Given that different iris databases have different file formats and quality, the images used for this work are jpeg and bmp. Based on the experimentation, most suitable threshold values for identification of iris aboundaries for different iris databases have been identified. It is therefore compared with the other methods used by other researchers and found out that the values of 0.3, 0.4 and 0.1 for database UBIRIS, CASIA and MMU respectively are more accurate and comprehensive. The study concludes that threshold values vary depending on the database. |
| first_indexed | 2025-11-15T20:08:15Z |
| format | Article |
| id | uthm-4522 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:08:15Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-45222021-12-07T04:53:32Z http://eprints.uthm.edu.my/4522/ An efficient iris image thresholding based on binarization threshold in black hole search method Danlami, Muktar Ramli, Sofia Najwa Jemain, Nur Izzah Syahira Pindar, Zahraddeen Jamel, Sapiee Deris, Mustafa Mat HT101-395 Urban groups. The city. Urban sociology HT165.5-169.9 City planning T58.5-58.64 Information technology In iris recognition system, the segmentation stage is one of the most important stages where the iris is located and then further segmented into outer and lower boundary of iris region. Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. The aim of this research is to identify the suitable threshold value in order to locate the outer and lower boundaries using Black Hole Search Method. We chose these methods because of the ineffient features of the other methods in image indetification and verifications. The experiment was conducted using three data set; UBIRIS, CASIA and MMU because of their superiority over others. Given that different iris databases have different file formats and quality, the images used for this work are jpeg and bmp. Based on the experimentation, most suitable threshold values for identification of iris aboundaries for different iris databases have been identified. It is therefore compared with the other methods used by other researchers and found out that the values of 0.3, 0.4 and 0.1 for database UBIRIS, CASIA and MMU respectively are more accurate and comprehensive. The study concludes that threshold values vary depending on the database. Science Publishing Corporation 2018 Article PeerReviewed Danlami, Muktar and Ramli, Sofia Najwa and Jemain, Nur Izzah Syahira and Pindar, Zahraddeen and Jamel, Sapiee and Deris, Mustafa Mat (2018) An efficient iris image thresholding based on binarization threshold in black hole search method. International Journal of Engineering and Technology, 7 (4.31). pp. 34-39. ISSN 2227-524X |
| spellingShingle | HT101-395 Urban groups. The city. Urban sociology HT165.5-169.9 City planning T58.5-58.64 Information technology Danlami, Muktar Ramli, Sofia Najwa Jemain, Nur Izzah Syahira Pindar, Zahraddeen Jamel, Sapiee Deris, Mustafa Mat An efficient iris image thresholding based on binarization threshold in black hole search method |
| title | An efficient iris image thresholding based on binarization threshold in black hole search method |
| title_full | An efficient iris image thresholding based on binarization threshold in black hole search method |
| title_fullStr | An efficient iris image thresholding based on binarization threshold in black hole search method |
| title_full_unstemmed | An efficient iris image thresholding based on binarization threshold in black hole search method |
| title_short | An efficient iris image thresholding based on binarization threshold in black hole search method |
| title_sort | efficient iris image thresholding based on binarization threshold in black hole search method |
| topic | HT101-395 Urban groups. The city. Urban sociology HT165.5-169.9 City planning T58.5-58.64 Information technology |
| url | http://eprints.uthm.edu.my/4522/ |