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...
Main Author: | M. Ali, Musab A. |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/21546/ http://ir.uitm.edu.my/id/eprint/21546/1/TP_MUSAB%20A.M.%20ALI%20EE%2016_5.pdf |
Similar Items
-
Biometric identification and recognition for IRIS using Failure
Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
by: Mohammed Ali Al-Rawi, Musab Ahmed
Published: (2016) -
Optical fiber communications
by: Keiser
Published: (2000) -
Understanding optical fiber communications
by: Rogers
Published: (2001) -
Fiber optic reference guide a practical guyide to technology
by: Goff
Published: (1999) -
Principles of modern optical systems
by: Andonovic
Published: (1989)