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License Plate Location Algorithm Based on Grayscale Stretching and Maximum Variance Threshold Segmentation

Aiming at the problem that traditional license plate location algorithm is not ideal in positioning effect, a method of applying grayscale stretching and maximum variance threshold segmentation method to the preprocessing of image preprocessing is proposed. The structure and color features of the license plate are used to identify whether the location is the license plate and to remove the area of the mischecked license plate. By improving the image contrast and automatically determining the binarization threshold, an improved preprocessing algorithm for complex background images of high-speed toll gate and bayonet is established. Based on this method, the license plate can be located quickly. Experimental result shows that the method has the characteristics of high accuracy and rapidity of license plate positioning.