Automatic license plate identification method based on deep convolutional neural network

Abstract

The invention discloses an automatic license plate identification method based on a deep convolutional neural network. The automatic license plate identification method comprises the steps of: firstly, designing a network structure and an input format of the neural network; adopting random affine transformation to synthesize a training sample, synthesizing a real scene picture and a grey-scale image license plate, adding noise to simulate and generate a large number of license plate images in a real scene; subjecting the neural network to back-propagation training, and training the neural network by adopting a supervised back-propagation algorithm; conducting sliding window searching, positioning a license plate through sliding a window, segmenting a picture and converting the picture into grey-scale images, and standardizing the grey-scale images to the standard input format. The automatic license plate identification method can effectively handle the influence on identification caused by image translation and rotation, can avoid the dependence on the specific environment and font in the identification process, is simple in algorithm implementation and high in robustness, and is easy to transplant.

Description

technical field

[0001] The invention belongs to the technical field of image processing based on artificial intelligence, in particular to an automatic license plate recognition method based on a deep convolutional neural network. Background technique

[0002] In a broad sense, automatic license plate recognition refers to the technology of using computer image processing technology to automatically identify vehicle registration and take pictures from images. It can utilize existing surveillance cameras as input. With the development of intelligent transportation systems, automatic license plate recognition technology is widely used in various fields. Traditional automatic license plate recognition devices use optical character recognition technology to extract characters from images. Starting from obtaining a license plate picture, the basic steps include license plate location, license plate character segmentation, and license plate character recognition. Traditional met...

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