Reducing Error Rates for Iris Image using higher Contrast in Normalization process

Iris recognition system is the most secured, and faster means of identification and authentication. However, iris recognition system suffers a setback from blurring, low contrast and illumination due to low quality image which compromises the accuracy of the system. The acceptance or rejection rates...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2017-08, Vol.226 (1), p.12110
Main Authors: Ghali, Abdulrahman Aminu, Jamel, Sapiee, Pindar, Zahraddeen Abubakar, Disina, Abdulkadir Hasssan, Daris, Mustafa Mat
Format: Article
Language:English
Subjects:
Biometric recognition systems
Blurring
Equalization
Error reduction
Histograms
Image contrast
Image enhancement
Image quality
Object recognition
Rejection rate
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Summary:Iris recognition system is the most secured, and faster means of identification and authentication. However, iris recognition system suffers a setback from blurring, low contrast and illumination due to low quality image which compromises the accuracy of the system. The acceptance or rejection rates of verified user depend solely on the quality of the image. In many cases, iris recognition system with low image contrast could falsely accept or reject user. Therefore this paper adopts Histogram Equalization Technique to address the problem of False Rejection Rate (FRR) and False Acceptance Rate (FAR) by enhancing the contrast of the iris image. A histogram equalization technique enhances the image quality and neutralizes the low contrast of the image at normalization stage. The experimental result shows that Histogram Equalization Technique has reduced FRR and FAR compared to the existing techniques.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/226/1/012110