License plate extraction method for identification of vehicle violations at a railway level crossing |
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Authors: | B K Cho S H Ryu D R Shin J I Jung |
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Institution: | 1.Korea Railroad Research Institute,Gyeonggi,Korea;2.Department of Electronics and Computer Engineering,Hanyang University,Seoul,Korea;3.School of Information & Communication Engineering,Sungkyunkwan University,Gyeonggi,Korea |
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Abstract: | The primary cause of most railroad accidents is vehicle entry into railway level crossings despite warning messages. To identify
drivers who violate railway level crossing regulations, vehicle license plate recognition can be applied at railway level
crossings. The purpose of this paper is to present an effective method for extracting the license plate region from vehicle
images taken at railway level crossings. The method proposed in this paper uses the variation in the gray-level values across
the image of a license plate. For license plate region extraction, the character region is first recognized by identifying
the character width and the difference between the background region and the character region. The license plate region is
then extracted by finding the inter-character distance in the plate region. In addition, the license plate type is identified
by the difference in the gray-level value between the background region and the character region. The proposed method is effective
in solving the current challenges in extracting the license plate region from the damaged frames of license plates issued
for domestic use, including new types of license plates. According to the experimental results, the proposed method yields
a high extraction rate of 99.5% for vehicle license plates. |
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