License plate positioning identification method based on support vector machine and convolutional neural network

Abstract

The invention discloses a license plate positioning identification method based on a support vector machine and a convolutional neural network. The method comprises the following steps of using the weighted grayscale algorithm to carry out graying processing and histogram equalization on an original color license plate image so as to acquire an equalized grayscale image; carrying out edge detection on the equalized grayscale image and acquiring an edge image; carrying out binarization on the edge image; using a morphology to operate the license plate image so as to process and acquiring a license plate candidate area image; using a SVM discrimination model to classify and acquiring a license-plate accurate positioning image; using a vertical and horizontal projection combination method tocarry out image segmentation and acquiring a single character image; using a normalized function to carry out normalization processing on each license plate character; and using a convolutional neuralnetwork model license plate character identification model to identify and outputting and displaying an identification result. In the invention, the robustness of a license plate character identification algorithm is effectively increased, and the method has a high identification rate and is suitable for the license plate positioning and identification under a complex background.

Description

technical field [0001] The invention belongs to the field of image processing and machine learning, and in particular relates to a license plate location recognition method based on a support vector machine and a convolutional neural network in a complex environment. Background technique [0002] The industrialization of the country and the popularization of automobiles have greatly facilitated people's daily life, but the traffic problems have become increasingly serious, and intelligent transportation has emerged as the times require. License plate recognition technology is an important research topic in intelligent transportation systems, which determines the development speed and technical level of intelligent transportation systems, and has been widely used in vehicle monitoring, violation fees and other fields. [0003] In recent years, the license plate location recognition algorithm has been widely concerned by researchers. Ma Shuang et al. proposed a license plate r...

AI Technical Summary

Problems solved by technology

However, under realistic conditions, the quality of the license plate image is often easily disturbed by lighting conditions, multiple license plates, angle tilt, and license plate defacement, and cannot be accurately positioned, thus affecting the accuracy of license plate recognition.

Therefore, the precise positioning and recognition of license plates in complex environments has become a bottleneck in the development of license plate recognition systems.

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