License plate recognition method, device and system

A license plate recognition and license plate technology, applied in the field of image recognition, can solve the problems of complex debugging and many parameters, and achieve the effect of reducing the processing difficulty and solving the post-processing algorithm.

Active Publication Date: 2017-02-15
BEIJING WENAN INTELLIGENT TECH CO LTD
View PDF5 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Obtaining a complete license plate recognition result in the prior art requires complex post-processing algorithms with numerous parameters and complicated debugging

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • License plate recognition method, device and system
  • License plate recognition method, device and system
  • License plate recognition method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0021] like figure 1 It is shown as a flow chart of a license plate recognition method provided by an embodiment of the present invention; the method includes:

[0022] 101: Obtain the image to be detected and the target detection and recognition model based on the convolutional neural network;

[0023] 102: Perform license plate recognition on the image to be detected by using the target detection and recognition model based on the convolutional neural network;

[0024] 103: Obtain the license plate information in the image to be detected; the license plate information includes: the content of the license plate character group and the coordinate position of each character in the license plate character group.

[0025] Based on the a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a license plate recognition method, device and system. The license plate recognition method comprises the steps that an image to be detected and the target detection recognition model based on a convolution neural network are acquired; license plate recognition is carried out on the image to be detected through the target detection recognition model based on the convolution neural network; and license plate information in the image to be detected is acquired, wherein the license plate information comprises the content of a license plate character group and the coordinate position of each character in the license plate character group. According to the technical scheme provided by the invention, the overall recognition of license plate characters is realized through the target detection recognition model based on the convolution neural network, which greatly reduces the processing difficulty of license plate recognition.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a license plate recognition method, device and system. Background technique [0002] With the continuous improvement of economic level and people's living standards, vehicles in large, medium and small cities are constantly increasing. At the same time, the ensuing traffic problems have attracted more and more attention. In the process of identifying traffic violations, the automatic and accurate identification of illegal vehicle license plates is particularly important. At present, the algorithm of license plate recognition usually adopts the algorithm based on convolutional neural network. Among them, the fast area convolutional neural network algorithm is one of the most advanced deep learning neural networks for object detection. The fast area convolutional neural network is composed of two parts of the network; one part is used to generate the area where the tar...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/62
CPCG06V30/153G06V10/25G06V20/625G06V30/10G06F18/24
Inventor 陶海崔潇潇李蕊燕马文华
Owner BEIJING WENAN INTELLIGENT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap