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https://ptsldigital.ukm.my/jspui/handle/123456789/475764Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Md. Jan Nordin, Assoc. Prof. Dr. | - |
| dc.contributor.author | Husam A. El. Lahrash (P47956) | - |
| dc.date.accessioned | 2023-10-05T06:41:40Z | - |
| dc.date.available | 2023-10-05T06:41:40Z | - |
| dc.date.issued | 2019-09-16 | - |
| dc.identifier.other | ukmvital:114340 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/475764 | - |
| dc.description | With the increase of advanced development in security technology, many major corporations and governments start employing modern techniques to identify the identity of the individuals. Biometric identification methods, including facial recognition, fingerprint recognition, speech verification, and iris recognition present a new solution for applications that require a high degree of security. Among these biometric methods, iris recognition becomes an important topic in biometric recognition because it depends on iris which is located in a stable and the probability to find two identical irises is closed to zero. The identification system consists of several stages including segmentation stage which is the most serious and critical one. The current segmentation methods still have limitation in localizing the iris due to circular shape consideration of the pupil. In this research a study for two segmentation methods of iris, Daugman and Jin methods are carried out to investigate the segmentation techniques. Furthermore, an enhanced method based on the techniques of the mentioned two methods is proposed, which can guarantee the accuracy of the iris identification system. The proposed method takes into account the elliptical shape of the pupil and iris. Eyelid detection is another step that has been included in this study as a part of segmentation stage to localize the iris accurately and remove unwanted area. The CASIA v.3 consisting of the three subsets: Interval, Lamp and Twin are used to evaluate the performance of the proposed method. The evaluation way of the proposed method is done by determining the number of success images and gains a result of 98.5% which is a good result among existing methods.,Certification of Master's/Doctoral Thesis" is not available | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | - |
| dc.rights | UKM | - |
| dc.subject | Biometric identification | - |
| dc.subject | Iris (Eye) | - |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
| dc.subject | Dissertations, Academic -- Malaysia | - |
| dc.title | Iris segmentation based on boundary localization | - |
| dc.type | Theses | - |
| dc.format.pages | 100 | - |
| dc.identifier.callno | TK7882.B56L334 2011 3 tesis | - |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
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