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

Vehicle identity recognition method based on image enhancement

A vehicle identification and identification technology, applied in the field of image processing and identification, can solve the problems of blurred images and low identification rate, and achieve the effect of ensuring integrity, speeding up identification, and saving resources.

Pending Publication Date: 2019-09-20
GANSU WANHUA JINHUI INFORMATION TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is: the present invention provides a vehicle identity recognition method based on image enhancement, the problem of low recognition rate due to blurred or missing images

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
  • Vehicle identity recognition method based on image enhancement
  • Vehicle identity recognition method based on image enhancement
  • Vehicle identity recognition method based on image enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] In the prior art, the recognition of vehicle information based on image patterns mainly relies on the acquisition of vehicle license plate images to obtain the digital information of the vehicle. The vehicle license plate is used as the identification of the vehicle identity. It is composed of the license plate number and color. The number is the vehicle registration number, which is unique and is the main source of information for social management of vehicles; based on the radio frequency identification vehicle information is mainly fixed on the front windshield of the vehicle "Taoji passive radio frequency tag" As a technology for vehicle identification. This technology is to store the digital attribute of the vehicle identity in the radio frequency tag in advance, which can be directly read by the computer, so the recognition reliability of this technology is high. An anti-tampering device is installed between the electronic tag and the front windshield of the vehic...

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 vehicle identity recognition method based on image enhancement, and relates to the field of image processing and recognition. The method comprises the following steps of 1, acquiring a vehicle license plate and a vehicle radio frequency tag to obtain a license plate picture and the radio frequency data; 2, after the image enhancement is carried out on the license plate picture, identifying the vehicle license plate to obtain a license plate identity identification result; 3, identifying the radio frequency data to obtain a radio frequency identification result; and 4, fusing the license plate identity recognition result and the radio frequency identity recognition result, and outputting a final recognition result according to a set confidence coefficient. According to the invention, the collected vehicle identity image is enhanced, the integrity of the acquired image is ensured, the subsequent accurate identification is facilitated, the dual-mode identification is performed based on the image and radio frequency, the data is outputted according to the confidence coefficient, the resource occupation difficulty caused by the combination of the two is overcome, the occupied resources are saved, the identification efficiency is improved and the identification accuracy is improved.

Description

technical field [0001] The invention relates to the field of image processing and recognition, in particular to a vehicle identity recognition method based on image enhancement. Background technique [0002] The main media for human beings to transmit information is language and images. According to statistics, visual information accounts for 80% of the various information received by human beings, so image information is a very important medium and way of information transmission. The image transmission system includes six parts: image acquisition, image compression, image coding, image storage, image communication, and image display. In practical applications, each part may cause image quality to deteriorate, so that the information conveyed by the image cannot be read and recognized normally. For example, in the process of image acquisition, the overall illumination of the image is uneven due to the lighting environment or the reflection of the surface of the object, or...

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): G06K9/32G06K9/34G06K17/00
CPCG06K17/0022G06V20/63G06V30/153G06V20/625
Inventor 牛新民牛新伟施强
Owner GANSU WANHUA JINHUI INFORMATION 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