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A Car License Plate Recognition Using Colors Information, Morphological Characteristic and Neural Network  

Cho, Jae-Hyun (부산가톨릭대학교 컴퓨터공학과)
Yang, Hwang-Kyu (동서대학교 컴퓨터정보공학부)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.5, no.3, 2010 , pp. 304-308 More about this Journal
Abstract
In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.
Keywords
ART2;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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