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http://dx.doi.org/10.5392/JKCA.2013.13.10.019

Malaysian Vehicle License Plate Recognition in Low Illumination Images  

Kim, Jin-Ho (경일대학교 전자공학과)
Publication Information
The Journal of the Korea Contents Association / v.13, no.10, 2013 , pp. 19-26 More about this Journal
Abstract
In the Malaysian license plates, alphabets and numerals which are made by plastic, are adhered to a frame as embossing style and occasionally characters in horizontal, vertical directions are aligned with narrow space. So the extraction of character stroke information can be hard in the vehicle images of low illumination intensity. In this paper, Malaysian license plate recognition algorithm for low illumination intensity image is proposed. DoG filtering based character stroke generation method is introduced to derive exact connected components of strokes in the vehicle image of low illumination intensity. After localization of plate by connected component analysis, characters are segmented and recognized. Algorithm is experimented for the 6,046 vehicle images captured in Kuala Lumpur by IR camera without using any special light during day and night. The experimental results show that recognition accuracy of plates is 96.1%.
Keywords
Malaysian Plate Recognition; Vehicle Plate Recognition; Varying Illumination; Character Recognition;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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