Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database
Iris segmentation methods work based on ideal imaging conditions which produce good output results. However, the segmentation accuracy of an iris recognition system significantly influences its performance, especially with data that captured in unconstrained environment of the Smartphone. This paper...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publishers
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/75086/ http://psasir.upm.edu.my/id/eprint/75086/1/Noncircular%20iris.pdf |
| _version_ | 1848857600798490624 |
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| author | Amjed, Noor Khalid, Fatimah Rahmat, Rahmita Wirza O. K. Madzin, Hizmawati |
| author_facet | Amjed, Noor Khalid, Fatimah Rahmat, Rahmita Wirza O. K. Madzin, Hizmawati |
| author_sort | Amjed, Noor |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Iris segmentation methods work based on ideal imaging conditions which produce good output results. However, the segmentation accuracy of an iris recognition system significantly influences its performance, especially with data that captured in unconstrained environment of the Smartphone. This paper proposes a novel segmentation method for unconstrained environment of the Smartphone videos based on choose the best frames from the videos and try to enhance the contrast of this frames by applying the two fuzzy logic membership functions on the negative image which delimit between dark and bright regions in able to make the dark region darker and the bright region brighter. This pre-processing step Facilitates the work of the Weighted Adaptive Hough Transform to automatically find the diameter of the iris region to apply the osiris v4.1. The proposed method results on the video of (Mobile Iris Challenge Evaluation (MICHE))-I, iris databases indicate a high level of accuracy and more efficient computationally using the proposed technique. |
| first_indexed | 2025-11-15T12:00:08Z |
| format | Article |
| id | upm-75086 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:00:08Z |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-750862019-11-28T04:20:11Z http://psasir.upm.edu.my/id/eprint/75086/ Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database Amjed, Noor Khalid, Fatimah Rahmat, Rahmita Wirza O. K. Madzin, Hizmawati Iris segmentation methods work based on ideal imaging conditions which produce good output results. However, the segmentation accuracy of an iris recognition system significantly influences its performance, especially with data that captured in unconstrained environment of the Smartphone. This paper proposes a novel segmentation method for unconstrained environment of the Smartphone videos based on choose the best frames from the videos and try to enhance the contrast of this frames by applying the two fuzzy logic membership functions on the negative image which delimit between dark and bright regions in able to make the dark region darker and the bright region brighter. This pre-processing step Facilitates the work of the Weighted Adaptive Hough Transform to automatically find the diameter of the iris region to apply the osiris v4.1. The proposed method results on the video of (Mobile Iris Challenge Evaluation (MICHE))-I, iris databases indicate a high level of accuracy and more efficient computationally using the proposed technique. American Scientific Publishers 2018-02 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75086/1/Noncircular%20iris.pdf Amjed, Noor and Khalid, Fatimah and Rahmat, Rahmita Wirza O. K. and Madzin, Hizmawati (2018) Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database. Journal of Computational and Theoretical Nanoscience, 15 (2). 739 - 743. ISSN 1546-1955; ESSN: 1546-1963 https://www.ingentaconnect.com/contentone/asp/jctn/2018/00000015/00000002/art00046?crawler=true&mimetype=application/pdf 10.1166/jctn.2018.7154 |
| spellingShingle | Amjed, Noor Khalid, Fatimah Rahmat, Rahmita Wirza O. K. Madzin, Hizmawati Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title | Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title_full | Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title_fullStr | Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title_full_unstemmed | Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title_short | Noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| title_sort | noncircular iris segmentation based on weighted adaptive hough transform using smartphone database |
| url | http://psasir.upm.edu.my/id/eprint/75086/ http://psasir.upm.edu.my/id/eprint/75086/ http://psasir.upm.edu.my/id/eprint/75086/ http://psasir.upm.edu.my/id/eprint/75086/1/Noncircular%20iris.pdf |