Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

License plate character segmentation method based on connected region and gap model

A technology that connects areas and license plates. It is used in character and pattern recognition, instruments, computer parts, etc., and can solve the problems of indistinguishable, uneven license plate characters, and license plate contamination and illumination.

Inactive Publication Date: 2012-10-10
FUDAN UNIV
View PDF3 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0018] The object of the present invention is to provide a method for segmenting license plate characters based on connected regions and gap models in order to solve the problem that the license plate characters are difficult to distinguish due to the above-mentioned license plate defacement and uneven illumination

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 character segmentation method based on connected region and gap model
  • License plate character segmentation method based on connected region and gap model
  • License plate character segmentation method based on connected region and gap model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The specific implementation of the license plate character segmentation method based on the connected region and gap model of the present invention is explained below in conjunction with the accompanying drawings, but it should be pointed out that the implementation of the present invention is not limited to the following embodiments.

[0046] A license plate character segmentation method based on the connected region and gap model. First, the license plate image is grayed and binarized, and the impurity noise is removed after marking the connected region, and then the two steps of marking the connected region and removing the impurity noise are repeated after the horizontal cutting step, and finally restore the remaining characters through gap calculation to obtain seven character regions.

[0047] Concrete operational steps of the inventive method are as attached figure 1 shown.

[0048] 1. Grayscale and binarization processing

[0049] First, this is a blue license...

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 belongs to the technical field of digital image processing and pattern recognition, and particularly relates to a license plate character segmentation method based on a connected region and a gap model. Firstly, a license plate gray image is subjected to binarization, then a connected region is marked in the binarized license plate image, next a character region in a license plate is acquired initially, finally a gap model is established to confirm the position of each character of the license plate according to proportions among characters of a standard license plate, and accordingly segmentation of the character region in the license plate is achieved. The characters of the standard license plate and size of gaps are utilized effectively, and influence of illegible characters caused by stain of the license plate, lighting of the image and the like on the character segmentation is avoided. Compared with a traditional license plate character segmentation method based on a connected region and projection and segmentation, the license plate character segmentation method based on the connected region and the gap model can improve accuracy of license plate character segmentation effectively and well solve the problem of license plate character segmentation caused by the illegible image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing and pattern recognition, and in particular relates to a method for recognizing license plates in traffic scenes in intelligent traffic management. technical background [0002] Intelligent Transportation System (Intelligent Transportation System, referred to as ITS) is to integrate electronic technology, computer technology, information technology, sensor technology and system engineering technology into various traffic road monitoring and management systems, vehicle control systems and road traffic control systems for the actual needs of ground transportation. An integrated system of traffic safety systems. Vehicle License Plate Recognition (VLPR) is one of the important components of intelligent transportation system, and its application is very extensive. License plate recognition is based on digital image processing, pattern recognition, computer vision and other technologies...

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): G06K9/34G06K9/54
Inventor 蒋龙泉王琰滨冯瑞金城薛向阳
Owner FUDAN UNIV
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com