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

Text (Robby Alphonsus Halim and Andi Wahju Rahardjo Emanuel)
8. A Review of Iris Recognition System ROI and Accuracy.pdf

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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
Date Deposited: 26 Feb 2022 02:53
Last Modified: 26 Feb 2022 02:53
URI: https://repository.uajy.ac.id/id/eprint/26451

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