Computer Systems ＆ Applications. 2021, (12)

Extraction Method of Autonomic Nerve Wreath Based on Genetic AlgorithmChinese Full Text

ZHU Li-Jun;DENG Tian-Jiao;School of Computer Science and Technology, Shenyang University of Chemical Technology;Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province;

Abstract: The Autonomic Nerve Wreath（ANW） is an important diagnostic feature in iris diagnostics. However, how to extract it against the interference of light spots, pigment spots, and eyelashes is still a problem. This study presents an ANW extraction method based on a genetic algorithm. It takes the local point density as the fitness, selects the optimal individual through roulette, and compares the genetic fitness between two adjacent chromosomes to determine the paternal parent. Experimental results show that the proposed method can avoid the interference of light spots, pigment spots, and eyelashes and thus improve the search efficiency and accuracy of the algorithm. The extracted rolling wheel is close to the actual rolling wheel.

Keywords：

Autonomic Nerve Wreath（ANW）; genetic algorithm; feature extraction; optimal solution; dot density;

DOI：
10.15888/j.cnki.csa.008189
Series：
(I) Electronic Technology ＆ Information Science; (E) Medicine ＆ Public Health
Subject：
Automation Technology; Biomedicine Engineering; Computer Software and Application of Computer
Classification Code：
TP18;TP391.41;R319

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Extraction Method of Autonomic Nerve Wreath Based on Genetic AlgorithmChinese Full Text

ZHU Li-Jun;DENG Tian-Jiao;School of Computer Science and Technology, Shenyang University of Chemical Technology;Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province;

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