A vehicle character recognition method based on a CNN convolutional neural network

Abstract

The invention provides a vehicle character recognition method based on a CNN convolutional neural network, and the method comprises the following steps: S1, building an HAAR cascade classifier, locking the position of a license plate according to the HAAR cascade classifier, and extracting an image of the license plate; S2, carrying out gray scale transformation on the image of the license plate to form a gray scale image; S3, performing image binarization operation on the grayscale image; S4, after the gray scale image is binarized, performing image corrosion and image expansion operation toobtain a final image; and S5, finding the information of the characters in the license plate by the final image through the minimum image contour, transmitting the characters into the established CNN,and carrying out recognition operation on the characters to finally obtain the license plate information. The efficiency of character detection is improved, and the license plate recognition time isshortened.

Description

Technical field [0001] The invention relates to the technical field of machine vision and CNN convolutional neural network, in particular to a vehicle character recognition method based on CNN convolutional neural network. Background technique [0002] The intelligent recognition technology of vehicle characters under machine vision can help solve the problem of traffic management that must spend a lot of labor, and solve the increasing number of vehicle management problems faced by traffic. This technology can be applied to important occasions such as highways, important intersections in urban areas, residential quarters, parking lots and so on. Therefore, intelligent vehicle character recognition technology has become one of the important links in traffic management. [0003] In the traditional license plate character recognition scheme, in addition to manual reading, most of them use template matching and color space matching to recognize the characters of the license plate. H...

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Problems solved by technology

[0006] In order to overcome the above-mentioned problems, the object of the present invention is to provide a vehicle character recognition method based on CNN convolutional neural network, which solves the singleness problem of traditional license plate recognition and detection scenes, and the application of neural network greatly improves the performance in different environments. Adaptability, improve the efficiency of character detection

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