Abstract
Iris recognition has been around for many years due to an extensive research on the uniqueness of human iris. It is well known that the iris is not similar to each other which means every human in the planet has their own iris pattern and cannot be shared. One of the main issues in iris recognition is iris segmentation. One element that can reduce the accuracy of iris segmentation is the presence of specular reflection. Another issue is the speed of specular reflection removal since the iris recognition system needs to process a lot of irises. In this paper, a specular reflection removal method was proposed to achieve a fast and accurate specular reflection removal. Some modifications were implemented on the existing pixels properties method. Based on the results, the proposed method achieved the fastest execution time, the highest segmentation accuracy and the highest SSIM compared to the other methods. This proves that the proposed method is fast and accurate to be implemented in the iris recognition systems.
Highlights
IntroductionIris recognition is one of many biometric systems [1] that use human body for human identification
Iris recognition is one of many biometric systems [1] that use human body for human identification.The examples of biometric systems are DNA, face, ear, palmprint, fingerprint and many more
In this study, the specular reflection removal method based on the pixels properties was proposed
Summary
Iris recognition is one of many biometric systems [1] that use human body for human identification. The examples of biometric systems are DNA, face, ear, palmprint, fingerprint and many more. The iris recognition system uses human iris as an object or token for human identification and verification. The iris is located in the eye, between the sclera (limbic boundary) and pupil (pupillary boundary). Sclera is the white part of the eye, while pupil is the black circle at the middle of the eye. The iris recognition is easy to use [5] since it can be captured using camera and video. The iris pattern located in the iris is very stable [6] and does not change during our lifetime [7]. The real-time applications of iris recognition system can be seen in the UK immigration system, the US police departments, the passport presentation of Schiphol airport (Netherlands), the UAE border security system and residency permit applications system, the Iraq’s control points of entry into Fallujah and the Pakistan-Afghanistan border of repatriation centre [8]
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