Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. The procedure of extracting the iris region from an eye image using circular parameters can be improved...
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2024
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| Online Access: | http://eprints.uthm.edu.my/10984/1/J17484_d9cfd2fa6bc726af58c4a615ab3312c6.pdf http://eprints.uthm.edu.my/10984/ |
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| author | Tara Othman Qadir, Tara Othman Qadir N.S.A.M Taujuddin, N.S.A.M Taujuddin |
| author_facet | Tara Othman Qadir, Tara Othman Qadir N.S.A.M Taujuddin, N.S.A.M Taujuddin |
| author_sort | Tara Othman Qadir, Tara Othman Qadir |
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| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The circular parameters between the pupil and the iris are found using current iris identification techniques but the
accuracy creates an issue for the detection process during image processing. The procedure of extracting the iris region from an eye image using circular parameters can be improved via approximately too many approaches in literature but remain some portions under slightly unconstrained circumstances. In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge
detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. The BHA looks for the central radius of the iris and pupil. The system uses MATLAB to test the CASIA-V3 database. The segmented images exhibit 98.71% accuracy. For all future access control applications, the segmentation-based BHA is effective at identifying the iris.
The integration of the BHA with the Hough transforms and Canny edge detector is the main method by which the iris segmentation is accomplished. This novel technique improves the accuracy and effectiveness of iris segmentation, with potential uses in image analysis and biometric identification. |
| format | Article |
| id | my.uthm.eprints-10984 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.uthm.eprints-109842024-05-20T01:30:00Z http://eprints.uthm.edu.my/10984/ Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems Tara Othman Qadir, Tara Othman Qadir N.S.A.M Taujuddin, N.S.A.M Taujuddin TA168 Systems engineering The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. The procedure of extracting the iris region from an eye image using circular parameters can be improved via approximately too many approaches in literature but remain some portions under slightly unconstrained circumstances. In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. The BHA looks for the central radius of the iris and pupil. The system uses MATLAB to test the CASIA-V3 database. The segmented images exhibit 98.71% accuracy. For all future access control applications, the segmentation-based BHA is effective at identifying the iris. The integration of the BHA with the Hough transforms and Canny edge detector is the main method by which the iris segmentation is accomplished. This novel technique improves the accuracy and effectiveness of iris segmentation, with potential uses in image analysis and biometric identification. 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/10984/1/J17484_d9cfd2fa6bc726af58c4a615ab3312c6.pdf Tara Othman Qadir, Tara Othman Qadir and N.S.A.M Taujuddin, N.S.A.M Taujuddin (2024) Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems. International Journal of Electrical and Computer Engineering Systems, 15 (1). pp. 59-68. |
| spellingShingle | TA168 Systems engineering Tara Othman Qadir, Tara Othman Qadir N.S.A.M Taujuddin, N.S.A.M Taujuddin Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title | Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title_full | Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title_fullStr | Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title_full_unstemmed | Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title_short | Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| title_sort | black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems |
| topic | TA168 Systems engineering |
| url | http://eprints.uthm.edu.my/10984/1/J17484_d9cfd2fa6bc726af58c4a615ab3312c6.pdf http://eprints.uthm.edu.my/10984/ |
| url_provider | http://eprints.uthm.edu.my/ |