An Application Study of Improved Iris Image Localization Based on an Evolutionary Algorithm
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Published:2023-10-29
Issue:21
Volume:12
Page:4454
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Niu Shanwei1, Nie Zhigang12, Liu Jiayu1, Chu Mingcao3
Affiliation:
1. College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China 2. Key Laboratory of Opto-Technology and Intelligent Control, Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China 3. Intelligent Manufacturing and Control Engineering College, Shandong University of Petrochemical Technology, Dongying 257000, China
Abstract
This study aims to enhance the localization of the inner and outer circles of the iris while addressing issues of excessive invalid computations and inaccuracies. To achieve this objective, diverse methods are employed to improve the process to varying extents. Initially, the image undergoes pre-processing operations, including grayscale conversion, mathematical morphological transformation, noise reduction, and image enhancement. Subsequently, the accurate localization of the inner and outer edges is achieved by applying algorithms such as Canny edge detection and the Hough transform, allowing for the determination of their corresponding center and radius values within the iris image. Lastly, an improvement is made to the particle swarm optimization algorithm by combining various algorithms, namely LinWPSO, RandWPSO, contraction factor, LnCPSO, and AsyLnCPSO, employing mechanisms such as simulated annealing and the ant colony algorithm. Through dual validation on the CASIA-Iris-Syn dataset and a self-built CASIA dataset, this approach significantly enhances the precision of iris localization and reduces the required iteration count.
Funder
Youth Tutor Support Fund of Gansu Agricultural University Industrial Support Program Project of Gansu Provincial Department of Education
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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