DocumentCode
1949965
Title
License Plate Recognition Based on Genetic Algorithm
Author
Ji-yin, Zhao ; Rui-rui, Zheng ; Min, Li ; Yin, Li
Author_Institution
Coll. of Electormechanical & Inf. Eng., Dalian Nat. Univ., Dalian
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
965
Lastpage
968
Abstract
A license plate location method based on projection and genetic algorithm was proposed in this paper. Projection located the left and right edges of license plate. Genetic algorithm searched license plate region with second order moment as objective function which described texture in license plate region quantitatively. Four sub-nets were designed to classify Chinese characters, alphabet characters, alphabet & numeral characters and numeral characters toughly. Small nets were designed to recognize several characters with similar structure precisely. Experiments indicates that locating accuracy of algorithm proposed in this paper is 97%. The algorithm can anti-interference strongly and has a well perform on poor quality image. BP classifier designed in this paper has well stability, high fault tolerant capability and its accuracy is 96.5%.
Keywords
backpropagation; character recognition; genetic algorithms; image classification; image texture; BP classifier; Chinese characters; alphabet characters; fault tolerant capability; genetic algorithm; image quality; license plate location method; objective function; Algorithm design and analysis; Automobiles; Computer science; Digital cameras; Genetic algorithms; Genetic engineering; Image edge detection; Licenses; Pattern recognition; Software engineering; genetic algorithm; license plate location; license plate recognition; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.344
Filename
4721911
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