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Extracting Of Car License Plate Using Motor Vehicle Regulation And Character Pattern Recognition  

남기환 (관동대학교)
배철수 (관동대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.6, no.2, 2002 , pp. 339-345 More about this Journal
Abstract
Extracting of car licens plate os important for identifying the car. Since there are some problems such as poor ambient lighting problem, bad weather problem and so on, the car images are distorted and the car license plate is difficult to be extracted. This paper proposes a method of extracting car license plate using motor vehicle regulation. In this method, some features of car license plate according to motor vehicle regulation such as color information, shape are applied to determine the candidate of car license plates. For the result of recognition by neural network, the candidate which has characters and numbers patterns according to motor vehicle regulation is certified as license-plate region. The results of the experiments with 70 samples of real car images shoe the performance of car license-plate extraction by 84.29%, and the recognition rate is 80.81%.
Keywords
번호판추출;번호판인식;특징패턴;신경망;
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  • Reference
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