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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.344