NDLI: Comparison of immune and genetic algorithms for parameter optimization of plate color recognition

Content Provider	IEEE Xplore Digital Library
Author	Feng Wang Dexian Zhang Lichun Man
Copyright Year	2010
Description	Author affiliation: Department of Information, Henan Provincial Bureau for Letters and Calls, Zhengzhou, 450003, China (Lichun Man) \|\| College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China (Feng Wang; Dexian Zhang)
Abstract	To address the parameter optimization problem of plate color recognition, two approaches based on IA (immune algorithm) and GA (genetic algorithm) are proposed respectively. Theoretical comparison of IA and GA is first made. Then experimental comparison of the two algorithms is given by using them to perform the parameter optimization task for color recognition of license plates. For plate color recognition algorithm, color features are extracted in the HSV (hue, saturation, and value) color space and weighted fusion of the fuzzy maps on three components is utilized to perform color recognition. To improve the adaptability of recognition algorithm, weights of color feature components and thresholds of classification functions are optimized by immune and genetic algorithms respectively. Comparison experiments were conducted on three data sets. And the experimental results show that the immune-based approach achieves higher accuracy and smaller mean square deviation. From the theoretical and experimental comparisons, it is shown that many immune mechanisms, such as clonal explosion, immune supplementation, concentration adjustment, etc. can be used to solve the parameter optimization problem effectively and efficiently.
Starting Page	94
Ending Page	98
File Size	601943
Page Count	5
File Format	PDF
ISBN	9781424467884
e-ISBN	9781424467891
DOI	10.1109/PIC.2010.5687424
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithm (GA) Gallium Immune algorithm (IA) Intelligent optimization Search problems Genetics Classification algorithms Immune system
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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