In this paper a method for vehicle license plate identification is implemented and analyzed, on the basis of a novel adaptive image segmentation technique conjunction with character recognition. A novel method for license plate localization based on texture and edge information is proposed. The whole process is divided into two parts: candidate extraction and candidate verification. In the first part, the license plate being extracted from complex environment, several candidate areas instead of one with the max texture information are extracted. In the second part, autocorrelation based binary image and projection algorithm are used to verify the plate candidates. Adaptive median filter is applied to remove the noise from the image. Image processing technique such as edge detection, thresholding, resampling and filtering have been used to locate and isolate the license plate and the characters. The system can recognize single line number plates under widely varying illumination conditions with a success rate of about 80%.
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