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http://dx.doi.org/10.6109/JKIICE.2009.13.10.1987

A Study on Recognition of Both of New & Old Types of Vehicle Plate  

Han, Kun-Young (동의대학교 멀티미디어공학과)
Woo, Young-Woon (동의대학교 멀티미디어공학과)
Han, Soo-Whan (동의대학교 멀티미디어공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.10, 2009 , pp. 1987-1996 More about this Journal
Abstract
Recently, the color of vehicle license plate has been changed from green to white. Thus the vehicle plate recognition system used for parking management systems, speed and signal violation detection systems should be robust to the both colors. This paper presents a vehicle license plate recognition system, which works on both of green and white plate at the same time. In the proposed system, the image of license plate is taken from a captured vehicle image by using morphological information. In the next, each character region in the license plate image is extracted based on the vertical and horizontal projection of plate image and the relative position of individual characters. Finally, for the recognition process of extracted characters, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis) are sequentially utilized. In the experiment, vehicle license plates of both green background and white background captured under irregular illumination conditions have been tested, and the relatively high extraction and recognition rates are observed.
Keywords
Vehicle Linese Plate; Local Normalization; Otsu's Binarization; Intensity Variation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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