Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali

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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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Bibliographic Details
Main Author:	M. Ali, Musab A.
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Scanning systems Optical fibers
Online Access:	https://ir.uitm.edu.my/id/eprint/21546/

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