High biometric recognition based on histogram and semi-discrete matrix decomposition via neural network
Joint Authors
Aziz, Samir A.
Ali, Iqbal Husayn
Isa, Suad Ali
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 12A (31 Dec. 2016), pp.2239-2248, 10 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Iris recognition is regarded as the most reliable and accurate biometric identification system available highly protected and stable.
Iris situating is the main focus in the procedure of iris recognition and verifies the precision of identification.
In this work, a new algorithm for iris localization is suggested based on the median filter and the histogram to determine an automated global threshold and the pupil centre.
An algebraic based on semi-discrete matrix decomposition SDD is used to extract iris feature from iris image that decrease the difficulty in input layered neural network, the sizes of input patterns are enhanced.
The iris recognition is developed by a neural network with differential adaptive learning rate to identify the iris features.
This method is simple, effective and high speed recognition.
The system is implemented by using Matlab.
Experimental outcomes indicate that the suggested algorithm gives the accuracy of 100 % with time equal 1.4 sec is best than other methods for Daugman and Wildes.
American Psychological Association (APA)
Ali, Iqbal Husayn& Aziz, Samir A.& Isa, Suad Ali. 2016. High biometric recognition based on histogram and semi-discrete matrix decomposition via neural network. Engineering and Technology Journal،Vol. 34, no. 12A, pp.2239-2248.
https://search.emarefa.net/detail/BIM-756179
Modern Language Association (MLA)
Aziz, Samir A.…[et al.]. High biometric recognition based on histogram and semi-discrete matrix decomposition via neural network. Engineering and Technology Journal Vol. 34, no. 12A (2016), pp.2239-2248.
https://search.emarefa.net/detail/BIM-756179
American Medical Association (AMA)
Ali, Iqbal Husayn& Aziz, Samir A.& Isa, Suad Ali. High biometric recognition based on histogram and semi-discrete matrix decomposition via neural network. Engineering and Technology Journal. 2016. Vol. 34, no. 12A, pp.2239-2248.
https://search.emarefa.net/detail/BIM-756179
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2247-2248
Record ID
BIM-756179