Research on the Algorithm of Locating and Cutting in License Plate Character Extraction

To improve the real-time and accuracy of intelligent vehicle character recognition algorithm, this paper mainly studies a new method for license plate location and character cutting: license plate location is carried out by combining HSV color space recognition with Sobel edge detection. The outer rectangle of the outermost contour of the character is used to judge the character boundary and segment the character. First, the original picture is converted to the HSV space, then the color information of the license plate is combined with the edge information to locate the license plate roughly, and finally the specific position of the license plate is determined according to the aspect ratio of the license plate. The location of the license plate is extracted for character segmentation preprocessing. Then, by traversing, the contour which meets the aspect ratio condition is found and the corresponding circumscribed rectangle is taken. The coordinate information of the rectangle is extracted and stored as a matrix, which is the basis of character segmentation. It is proved that this method has better accuracy and reliability than the traditional methods.