Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A license plate character segmentation method

A character segmentation and license plate technology, which is applied in the field of license plate recognition, can solve the problems of characters sticking together, characters not reflecting and disappearing, etc.

Active Publication Date: 2019-05-24
北京筑梦园科技有限公司
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When deriving characters forward and backward, you may also encounter problems such as characters sticking together, or the position of characters disappearing due to non-reflective characters.

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
  • A license plate character segmentation method
  • A license plate character segmentation method
  • A license plate character segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Such as figure 1 As shown, a kind of license plate character segmentation method of the present invention comprises the following steps,

[0028] Step S1: Binarize the license plate image; convert the color image of the license plate into a grayscale image, and perform binarization on the grayscale image. In this embodiment, the color image is converted into a grayscale image, and the grayscale image is binarized using OTSU (maximum inter-class variance method). Of course, other applicable methods can also be used to binarize the color image.

[0029] Step S2: search for connected areas in the binarized image; search for all connected areas in the binarized image; calculate the median height and width of all connected areas, and remove the areas whose height is less than 1 / 2 the median height of all connected areas.

[0030] Step S3: Waveform mapping of the license plate image; mapping the Unicom area into a waveform, which corresponds to the waveform of the license pl...

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 relates to the technical field of license plate recognition, in particular to a license plate character segmentation method, which comprises the following steps of S1, binarizing a license plate image; S2, searching a binary image connection region; S3, license plate image waveform mapping; S4, generating a changed re-fitting waveform; S5, calculating a waveform fitting degree; S6, license plate character segmentation. After the method is adopted. The waveform of the given license plate image is fitted by using the prefabricated waves with different amplitudes, wavelengths, phases and rotation; and finding the optimal fitting wave, and segmenting the image through the wave crest position in the wave. Therefore, the segmentation accuracy can be obviously improved when licenseplate character adhesion, stain, inclination, partial bending and license plate integral positioning are inaccurate.

Description

technical field [0001] The invention relates to the technical field of license plate recognition, in particular to a method for segmenting license plate characters. Background technique [0002] With the development and progress of image processing technology, the use of image processing technology to recognize license plates plays an increasingly important role in vehicle management and traffic management. The steps of license plate recognition based on image processing technology mainly include license plate location, license plate correction, license plate character segmentation, and license plate character recognition. License plate character segmentation is to segment each character in the corrected license plate image to obtain a separate image of each character, which can be used in subsequent character recognition to determine the specific license plate number. [0003] The prior art mainly uses the vertical projection of the binarized image of the license plate, so...

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
IPC IPC(8): G06K9/34
Inventor 冯彦刚
Owner 北京筑梦园科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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