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

License plate sloped correcting method based on supporting vector machines

A support vector machine and tilt correction technology, applied in the field of intelligent recognition, can solve the problems of large amount of calculation and low accuracy, and achieve the effects of simplifying calculation, improving algorithm efficiency, and avoiding randomness and instability

Inactive Publication Date: 2008-02-06
XIAN UNIV OF TECH
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a license plate tilt correction method based on a support vector machine, and apply the calculation principle of the support vector machine to the tilt correction of the vehicle license plate to solve the problem that the existing license plate tilt correction method has a large amount of calculation and low accuracy The problem

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 sloped correcting method based on supporting vector machines
  • License plate sloped correcting method based on supporting vector machines
  • License plate sloped correcting method based on supporting vector machines

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0072] a. Install the camera at a suitable location at a highway intersection, toll booth or parking lot, and collect images after the vehicle enters the camera range to obtain the original image containing the license plate image, as shown in Figure 2.

[0073] b. Carry out grayscale judgment on the original image of the vehicle obtained in step a, if the original image of the vehicle captured is a grayscale image, no processing is performed; if the original image of the vehicle captured is a true color image, then the vehicle is processed The original image is converted to grayscale to obtain a grayscale image containing the license plate;

[0074] c. Perform binarization processing on the grayscale image obtained in step b, and turn it into an image with only "0" and "1" values, which is convenient for subsequent processing, as shown in Figure 3.

[0075] D. The image obtained in step c is processed as follows, and the corrected license plate image is obtained:

[0076] d1...

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 present invention discloses a correcting method for the inclination of a vehicle license based on a supporting vector machine. The implementing steps of the method include an images collection, a gray processing, a binary processing, an inclination correction of the vehicle license (comprising that a matrix of an image datum collection is founded, the image matrix is centralized, the matrix is calculated, the inclination vector is calculated and an image is obtained after the inclination correction via transforming the coordinate), an expanding correction of the image and an erosion correction of the image. The correcting method for the inclination of a vehicle license of the present invention supports that a new machine learning tool (the vector machine) is applied. The traditional optimal-requesting problem of a Hough space of a vehicle license image is converted to a solution-requesting problem for a linear matrix. The calculation is simplified and the arithmetic efficiency is improved. The randomicity and instability existing in the searching process of the optimal points of parameters such as the obliquity are avoided. For the images with indistinct frame or noise, a better effect can still be obtained.

Description

technical field [0001] The invention belongs to the technical field of intelligent recognition, and in particular relates to a license plate tilt correction method based on a support vector machine. Background technique [0002] The automatic license plate recognition technology is one of the key technologies of the intelligent transportation system. Its task is to process and analyze the image of the license plate and automatically recognize the license plate. The license plate recognition system can be divided into four parts: license plate location, image preprocessing, character segmentation and character recognition. License plate tilt correction is an important process between license plate location and character segmentation. The license plate image obtained after the license plate location inevitably has a certain degree of inclination. This inclination will not only bring difficulties to the next step of character segmentation, but will also have a direct impact on...

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): G06K9/46G06T7/00
Inventor 刘涵
Owner XIAN UNIV OF TECH
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