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

A digital recognition method based on Second-Confirm

A digital recognition, digital technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of low accuracy, large amount of calculation, slow speed, etc., to improve the speed, high recognition rate, accurate digital recognition Effect

Active Publication Date: 2019-01-25
国家海洋局东海标准计量中心
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a digital recognition method and system based on Second-Confirm, which aims to solve the problems of large amount of calculation, low accuracy and slow speed in the existing digital recognition method

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 digital recognition method based on Second-Confirm
  • A digital recognition method based on Second-Confirm
  • A digital recognition method based on Second-Confirm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] The invention discloses a digital recognition method based on Second-Confirm, such as figure 1 As shown, the method includes the following steps:

[0034] S1, performing filtering and denoising processing on the image;

[0035] S2. Perform local adaptive binarization processing on the filtered digital image to obtain an image containing only black and white gray values, and obtain a digital template for identifying numbers;

[0036] S3. First-Confirm processing is performed on the image, and one of the numerical values ​​is segmented out by a template method;

[0037] S4. Dividing numbers...

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 digital recognition method based on Second-Confirm, comprising the following steps: filtering and denoising the image; processing the filtered digital image by local adaptivebinarization to obtain the image only containing black-and-white gray value, and obtaining the digital template used to identify the digital image, performing the First- Confirm treatment on the image, separating one of the numerical values through the template method; splitting a number from the separated numerical number; performing Second- Confirm processing on the split number, after the template image and the digital image are differentiated, recognizing the number, and calculating the final value. Under the condition of completing the digital recognition, the invention not only improvesthe speed of the digital recognition, but also remarkably improves the precision of the digital recognition and the digital recognition rate, thus better compensating for the problem of low recognition rate of the digital scale change, and more accurate and higher recognition rate for the digital recognition.

Description

technical field [0001] The invention belongs to the technical field of machine vision digital recognition, in particular to a method for digital recognition based on Second-Confirm. Background technique [0002] Digit recognition is a very active branch in the field of pattern recognition. This aspect is due to the difficulty of the problem itself which makes it a very challenging subject. On the other hand, it is because digital recognition is not an isolated application technology, which includes some of the most basic and common problems that other branches of the pattern recognition field will encounter. Due to the rapid development of character recognition technology, it has a wide range of applications in the fields of finance, taxation, and finance, as well as liquid level measurement. [0003] The segmentation method based on different digital structures takes advantage of the limited number of recognition targets in the digital recognition task, and marks them acc...

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): G06K9/34G06K9/62
CPCG06V30/153G06F18/285
Inventor 田为民任越冯兵何勇钱泽东赵秀玲王智祖
Owner 国家海洋局东海标准计量中心
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