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Day and night license plate detection using tail-light color and image features of license plate in driving road images
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 Title & Authors
Day and night license plate detection using tail-light color and image features of license plate in driving road images
Kim, Lok-Young; Choi, Yeong-Woo;
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 Abstract
In this paper, we propose a license plate detection method of running cars in various road images. The proposed method first classifies the road image into day and night images to improve detection accuracy, and then the tail-light regions are detected by finding red color areas in RGB color space. The candidate regions of the license plate areas are detected by using symmetrical property, size, width and variance of the tail-light regions, and to find the license plate areas of the various sizes the morphological operations with adaptive size structuring elements are applied. Finally, the plate area is verified and confirmed with the geometrical and image features of the license plate areas. The proposed method was tested with the various road images and the detection rates (precisions) of 84.2% of day images and 87.4% of night images were achieved.
 Keywords
Road images;Day and night image classification;License plate detection;Adaptive morphology;
 Language
Korean
 Cited by
 References
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