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

Text recognition method, device and equipment

A text recognition and text area technology, applied in the field of computer vision, can solve the problems of poor robustness, inability to form, messy text layout, etc., to achieve the effect of improving robustness and reducing the possibility of recognition errors

Pending Publication Date: 2020-10-09
HANGZHOU HIKVISION DIGITAL TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In some more complex scenes, the text layout will be messy and cannot form a regular "line". In the above method, in more complex scenes, such as scenes with skewed characters and messy backgrounds, text regions are identified based on semantic segmentation results. Some characters may not be completely recognized when the characters are in the text, resulting in text recognition errors and poor robustness

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
  • Text recognition method, device and equipment
  • Text recognition method, device and equipment
  • Text recognition method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0058] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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 provides a text recognition method, a device and equipment, and the method comprises the steps: extracting a text region image from a target image, and the text region image comprises atleast one character; extracting single-character images from the text area image, wherein each single-character image comprises a character; and identifying characters in each single-character imageto obtain a character identification result. The integrity of the recognized characters is ensured, the text recognition error rate is reduced, and the robustness is improved.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a text recognition method, device and equipment. Background technique [0002] Text may appear in various scenes, such as shopping mall signs, item brands, various books, videos, etc. Text can help us better understand the relevant conditions of the scene, and then help make corresponding decisions, so in more scenes Both need to collect text images and recognize the text in the images. [0003] In a related text recognition method, after a text image is collected, a text region is extracted from the text image, the text region is semantically segmented, and characters in the text region are recognized based on the semantic segmentation result. In some more complex scenes, the text layout will be messy and cannot form a regular "line". In the above method, in more complex scenes, such as scenes with skewed characters and messy backgrounds, text regions are identi...

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): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V30/413G06V20/63G06V10/464G06V30/287G06N3/045G06F18/241
Inventor 张鹏
Owner HANGZHOU HIKVISION DIGITAL 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