Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali
Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. Hence, the objectives of this research are new algorithms development significantly for iris segmentation specifically the proposed Fusion of Profile and Mask Techniqu...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/21546/1/TP_MUSAB%20A.M.%20ALI%20EE%2016_5.pdf https://ir.uitm.edu.my/id/eprint/21546/ |
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| Institution: | Universiti Teknologi Mara |
| Language: | English |