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https://ptsldigital.ukm.my/jspui/handle/123456789/476499Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Azizah Jaafar, Assoc. Prof. Dr. | |
| dc.contributor.author | Asama Kuder Nseaf (P54810) | |
| dc.date.accessioned | 2023-10-06T09:19:40Z | - |
| dc.date.available | 2023-10-06T09:19:40Z | - |
| dc.date.issued | 2011-04-05 | |
| dc.identifier.other | ukmvital:114683 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/476499 | - |
| dc.description | Iris recognition has been getting greater attention especially since most recognition systems are easily penetrated or copied. However, the accuracy of iris recognition is very important in determining the success in identifying an individual. One of the hurdles that hampered the accuracy of iris recognition is the process of separating the iris from the eyelids and eyelashes, and the process of detecting the boundaries of iris. Based on the afore-mentioned problem, a study was carried out to enhance iris segmentation technique using Hough’s Transform. This approach was utilized in the segmentation stage, i.e. in locating the iris region in an eye image. The performance of this approach emphasizes on the accuracy of iris segmentation based on using one center for the iris and pupil. As for the Normalization stage; creating a dimensionally consistent representation of the iris region whereby Daugman’s rubber sheet model is applied. Feature extraction and encoding process, which is creating a template distinguishing iris, are carried out using Log-Gabor Filters. Finally, the process of matching is conducted using Hamming Distance Test, in the matching stage. The experimental evaluation was carried out using CASIA-IrisV3-Intervals Database. All iris images are 8 bit gray-level JPEG files, and the resolution (320*280). The input to the database is an eye image, whilst the output produced is an iris template, which provides a mathematical representation of the identified iris region. The result of the evaluation showed that the accuracy and speed of iris recognition has been improved by the enhanced iris segmentation using Hough Transform.,“Certification of Master’s/Doctoral Thesis” is not available,Master Information Technology | |
| 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 | Eye | |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | |
| dc.subject | Dissertations, Academic -- Malaysia | |
| dc.title | Enhancement segmentation technique for iris recognition system based on hough transform | |
| dc.type | theses | |
| dc.format.pages | 123 | |
| dc.identifier.callno | TK7882.B56N763 2011 3 tesis | |
| dc.identifier.barcode | 002390(2011) | |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_114683+SOURCE1+SOURCE1.0.PDF Restricted Access | 14.36 MB | Adobe PDF |  View/Open |
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