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

A barcode recognition algorithm based on sub-pixel corner detection

A corner detection, sub-pixel level technology, applied in the field of barcode detection, can solve the problem that the pixel level corner detection method cannot meet the needs of actual measurement, can not meet the needs of actual measurement, etc., to improve the processing speed and accuracy, Satisfied with the recognition effect, clearing the effective effect

Active Publication Date: 2019-01-11
GUANGDONG UNIV OF TECH
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the rapid development of science and technology, the requirements for the accuracy of barcodes in industrial inspection and other applications continue to increase, and the traditional pixel-level corner detection method can no longer meet the needs of actual measurement.
[0004] Disadvantages and deficiencies of the existing technology: the existing barcode corner detection technology can only achieve pixel-level accuracy, and with the rapid development of science and technology, the requirements for barcode accuracy in applications such as industrial inspection continue to increase, and the existing pixel-level The corner detection method can no longer meet the needs of actual measurement

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 barcode recognition algorithm based on sub-pixel corner detection
  • A barcode recognition algorithm based on sub-pixel corner detection
  • A barcode recognition algorithm based on sub-pixel corner detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0035] The main working principle of the present invention is as follows: pre-processing the image collected by the camera, reading the original image, graying and median filtering, and performing corner detection in the judgment and removal of non-barcode areas based on sub-pixel level corners In the detection method, a series of operations such as locating the barcode position according to the remaining image outline, rotating and intercepting and saving the barcode area are obtained to obtain an accurate barcode image.

[0036] Specifically, as figure 1 As shown, a barcode recognition algorithm based on sub-pixel level corner detection includes the following steps:

[0037] Step 1, load the original barcode image;

[0038] Step 2, pre-processing of the original barc...

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 bar code recognition algorithm based on sub-pixel level corner detection, comprising the following steps: S1, loading an original bar code image; S2, pre-processing the original barcode image; S3, judging and clearing that non-bar code area image, the specific steps being as follows: a block scan mode is performed first, the number of blocks selected is 6, BlockSize= (minimum of image width and height) / 6, the block size is calculated by dividing the minimum number of rows and columns of the original barcode image by the number of blocks, and the number of blocks per row and the number of blocks per column of the image are block_cols and block_rows, respectively. The invention effectively improves the image processing speed and accuracy, clears the non-bar code area more effectively, the image processing and analysis result is closer to the reality, and finally achieves a relatively satisfactory identification effect.

Description

technical field [0001] The invention relates to the technical field of barcode detection, in particular to a barcode recognition algorithm based on sub-pixel level corner detection. Background technique [0002] Bar code is a widely used automatic identification technology. It has the following advantages: fast input speed, high reliability, large amount of collected information, flexible and practical, etc. The main function of bar code is to carry data and realize efficient data collection , it plays a vital role in the data chain. In some industries, if the barcode accuracy is not high enough, it means that the data chain is destroyed and the supply chain will not be able to continue; in any link in the supply chain, If the reading and writing of information is inaccurate because the accuracy of the barcode is not high enough, it will also bring a lot of troubles to the enterprise, so it is necessary to improve the accuracy of the barcode as much as possible. [0003] Th...

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): G06K7/14G06T7/00
CPCG06K7/146G06T7/0002G06T2207/10004G06T2207/20164
Inventor 刘怡俊陈龙
Owner GUANGDONG 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