Detection of Brazilian License Plate Region for different classes of Images
نویسندگان
چکیده
In this work we present an adaptive method for detection of Brazilian license plate. This method enhances adaptively an input image, improving low contrast areas and guaranteeing a good contrast in the plate region. Based on the fact that license plate’s area is rich in texture and vertical edge information, we can identify it after filtering the image with Sobel and Canny operators eliminating longer and shorter edge segments, which can be considerate noise. Finally a counting box window is used to locate the character region with the maximum vertical edge information. At last we present an analysis of the method using a large image database with different classes of plate images.
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