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

International Research and Innovation Summit 2017

Ghali, Abdulrahman Aminu^1 ; Jamel, Sapiee^1 ; Pindar, Zahraddeen Abubakar^1 ; Disina, Abdulkadir Hasssan^1 ; Daris, Mustafa Mat^1

Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, johor, Batu Pahat, Malaysia^1

关键词: False acceptance rate;    False rejection rate;    Histogram equalizations;    Image contrasts;    Iris recognition systems;    Low qualities;    Normalization process;    Rejection rates;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/226/1/012110/pdf
DOI  :  10.1088/1757-899X/226/1/012110

来源: IOP

【 摘 要 】

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.