A Review of Iris Recognition System ROI and Accuracy

Robby Alphonsus Halim, Andi Wahju Rahardjo Emanuel
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引用次数: 3

Abstract

Iris contains some information about the 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.
虹膜识别系统的ROI和准确率研究进展
虹膜包含一些关于人体和器官状况的信息。虹膜学是一门研究虹膜结构的科学,通过检查虹膜组织的优缺点来获得代表各器官状况的一些信息。随着图像处理技术的飞速发展,虹膜学越来越普及和可靠。近年来,许多采用虹膜学的系统被开发出来,通过分析虹膜的某一部分或所谓的感兴趣区域(ROI)来诊断疾病。通常,虹膜识别系统包括三个主要功能,即图像预处理、特征提取和分类。本文展示了所研究的所有区域及其虹膜识别系统的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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