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Person identification based on different colour models iris biometric and contourlet transform
Other Title(s)
تحديد هوية الشخص استنادا إلى نمارج الألوان المختلفة للقزحية البيومترية والتحويلات الكونتورية
Joint Authors
Hamid, Duha Husayn
al-Azzawi, Mahir Khudayr Mahmud
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 24, Issue 1 (31 Jan. 2020), pp.15-33, 19 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2020-01-31
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Topics
Abstract EN
Iris identification plays an important role in many applications like security, banking, access to buildings, and surveillance ….
etc.
Since the iris part of the eye image can be significantly affected by some factors, such as lighting conditions source, eyelids, eyelashes, pupil, sclera, and shadowing, therefore iris identification research is still wide and rich.
The work proposed in this paper operates the iris identification system on the distorted colored images captured under visible light.
The proposed idea minimizes the number of iris regions affected by distortion, by dividing the iris region into separable regions.
Only the region without distortion part or region with distortion is less probable is used.
The paper studies the effect of different color model such as HSV, YIQ, YCbCr, and RGB color models on iris identification.
High quality feature extraction is introduced in this paper by using Contourlet Transform (CT).
Euclidian Distance (ED) or Neural Network (NN) is used as classifiers.
Simulation results show that the proposed method operating on non-distortion iris region outperforms the conventional method operating on the whole iris region for any selected color model and for standard databases (UPOL andUTIRIS) and a suggested one.
American Psychological Association (APA)
Hamid, Duha Husayn& al-Azzawi, Mahir Khudayr Mahmud. 2020. Person identification based on different colour models iris biometric and contourlet transform. Journal of Engineering and Sustainable Development،Vol. 24, no. 1, pp.15-33.
https://search.emarefa.net/detail/BIM-1263698
Modern Language Association (MLA)
Hamid, Duha Husayn& al-Azzawi, Mahir Khudayr Mahmud. Person identification based on different colour models iris biometric and contourlet transform. Journal of Engineering and Sustainable Development Vol. 24, no. 1 (Jan. 2020), pp.15-33.
https://search.emarefa.net/detail/BIM-1263698
American Medical Association (AMA)
Hamid, Duha Husayn& al-Azzawi, Mahir Khudayr Mahmud. Person identification based on different colour models iris biometric and contourlet transform. Journal of Engineering and Sustainable Development. 2020. Vol. 24, no. 1, pp.15-33.
https://search.emarefa.net/detail/BIM-1263698
Data Type
Journal Articles
Language
English
Notes
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Record ID
BIM-1263698