License plate recognition method, device and electronic equipment

A technology of license plate recognition and license plate, which is applied in the field of image processing, can solve problems such as the influence of accuracy, and achieve the effect of improving recognition ability and prediction accuracy

Active Publication Date: 2018-06-29
BEIJING KUANGSHI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the existing license plate recognition method based on convolutional neural network usually extracts the features of the license plate in the video through the convolutional neural network, and combines the spatial transformation network to predict the license plate result. This method ignores the domestic license plate single selection and double selection. In the case of double-line license plates, the accuracy is easily affected

Method used

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  • License plate recognition method, device and electronic equipment
  • License plate recognition method, device and electronic equipment
  • License plate recognition method, device and electronic equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0065] The embodiment of the present invention provides a license plate recognition method, which can be used for various vehicle license plates, such as single-line license plate and double-line license plate recognition. see figure 1 As shown, the license plate recognition method includes the following steps:

[0066] S101: Obtain a picture of the license plate to be recognized.

[0067] The pictures of passing vehicles are collected through the cameras at each intersection or each bayonet, and then the license plate picture of the vehicle is intercepted from the above picture as the license plate picture to be recognized. The license plate picture may be a single-line license plate picture or a double-line license plate picture. Civil license plates and most special license plates can be roughly divided into two license plate areas, one is the abbreviation plus one or two letters in the license plate area, and the other is the mixed part of the rest of the letters and num...

Embodiment 2

[0112] An embodiment of the present invention provides a license plate recognition device, see Figure 8 As shown, the device includes: a picture acquisition module 81 , a feature extraction module 82 , a feature transformation module 83 , a sequence generation module 84 , and a vector analysis module 85 .

[0113] Wherein, the picture acquisition module 81 is used to obtain the license plate picture to be recognized; the feature extraction module 82 is used to utilize the pre-built convolutional neural network to extract the preliminary features of the license plate picture; the feature transformation module 83 is used to input the preliminary features In the space transformation network, the transformed feature is obtained; the sequence generation module 84 is used to input the transformed feature into the recurrent neural network to generate an output vector sequence; the vector analysis module 85 is used to analyze the output vector sequence to obtain the license plate pict...

Embodiment 3

[0116] An embodiment of the present invention provides an electronic device, see Figure 9 As shown, the electronic device includes: a processor 90, a memory 91, a bus 92 and a communication interface 93, and the processor 90, the communication interface 93 and the memory 91 are connected through the bus 92; the processor 90 is used to execute the stored in the memory 91 Executable modules, such as computer programs. When the processor executes the computer program, the steps of the methods described in the method embodiments are realized.

[0117] Wherein, the memory 91 may include a high-speed random access memory (RAM, RandomAccessMemory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 93 (which may be wired or wireless), and the Internet, wide area network, local...

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Abstract

The invention provides license plate recognition method, device and electronic equipment, and relates to the technical field of image processing, wherein the license plate recognition method comprisesthe following steps: acquiring a to-be-recognized license plate picture; extracting the preliminary characteristics of the license plate picture by using a pre-constructed convolutional neural network; inputting the preliminary characteristics into a space transformation network to obtain the transformed characteristics; inputting the transformed characteristics into a recurrent neural network togenerate an output vector sequence; and analyzing the output vector sequence to obtain a recognition result of the license plate picture. According to the method, on the basis of extracting characteristics by using the convolutional neural network, a transformation matrix is learned in combination with the space transformation network, the characteristics are further extracted, and the result ispredicted through the recurrent neural network; and thus, the prediction accuracy is greatly increased, and the license plate recognition ability is enhanced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a license plate recognition method, device and electronic equipment. Background technique [0002] License plate recognition is one of the important components of modern intelligent transportation systems, and it is widely used. Based on digital image processing, computer vision, machine learning and other technologies, it analyzes the vehicle images or video sequences captured by the camera to obtain the unique license plate number of each car, thus completing the recognition process. Through some follow-up processing methods, functions such as parking lot fee management, traffic flow control index measurement, vehicle positioning, car anti-theft, expressway overspeed automatic supervision, red light electronic police, and road toll stations can be realized. It has practical significance for maintaining traffic safety and urban security, preventing traffic jams, and re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/63G06V20/625G06N3/045G06F18/214
Inventor 江振升
Owner BEIJING KUANGSHI TECH
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