THE METHODS OF AUTOMATIC LICENSE PLATE RECOGNITION

The results of the methods research of automatic license plate recognition are presented. The procedures of the localization region license plates in the image picture, normalizing the license plate image, license plate image segmentation, character of license plate recognition and syntactic analysis of the elements of the license plate. It is shown that an effective approach can be based on the applying methods of the Viola-Jones, Hough, the analysis of histograms of brightness and support vector machine. The described approach allows to obtain high recognition accuracy in different corners of the license plate relative to the camera. Also, the article outlines the key procedures involved in automatic license plate recognition, including localization, normalization, segmentation, recognition, and syntactic analysis. It also describes the use of algorithms based on binarization, contour extraction, and morphological image processing to localize license plate areas in images. Finally, it proposes an algorithm for localizing license plate areas in images, involving grayscale conversion, gradient operators, adaptive binarization, morphological operations, contour detection, and area selection based on license plate parameters.