A Review of Iris Recognition System ROI and Accuracy

Halim, Robby Alphonsus and Emanuel, Andi Wahju Rahardjo (2020) A Review of Iris Recognition System ROI and Accuracy. In: Proceedings 2020 International Conference on Smart Technology and Applications (ICoSTA). Universitas Bhayangkara Surabaya, Surabaya, Indonesia, pp. 1-6. ISBN 978-1-7281-3083-5

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Abstract

Iris contains some information about human body and organ condition. Iridology is a scientific study of the iris structure to get some information that represents the condition of the various organs by examining the tissue strengths and weaknesses in the iris. With the rapid development of image processing, iridology has become more popular and reliable. In recent years, many systems that adopt iridology have been developed to diagnose a disease by analyzing a certain part of the iris or so-called Region of Interest (ROI). Typically, iris recognition systems consist of three main functions namely image pre-processing, feature extraction, and classification. This paper shows all the regions that have been studied and the accuracy of their iris recognition system

Item Type: Book Section
Uncontrolled Keywords: Iridology, Iris Recognition System, ROI, System accuracy.
Subjects: Magister Teknik Informatika > Inovation of Computational Science
Divisions: Pasca Sarjana > Magister Teknik Informatika
Depositing User: Editor 3 uajy
Date Deposited: 26 Feb 2022 09:53
Last Modified: 26 Feb 2022 09:53
URI: http://e-journal.uajy.ac.id/id/eprint/26451

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