Method and device for recognizing text in image, computer equipment and computer storage medium

A text recognition and recognition method technology, applied in the field of text recognition, can solve the problems of lack of diversity of text samples, the model cannot fit the actual scene well, and the text recognition accuracy rate is low, so as to save the annotation time and improve the scene recognition ability. , the effect of improving the accuracy

Pending Publication Date: 2020-06-16
深圳平安医疗健康科技服务有限公司
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a text recognition method, device, computer equipment and computer storage medium in an image, the main purpose of which is to solve the lack of diversity of text samples in the training process of the existing text recognition model, so that the training The model cannot fit the actual scene very well, resulting in a problem of low text recognition accuracy

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
  • Method and device for recognizing text in image, computer equipment and computer storage medium
  • Method and device for recognizing text in image, computer equipment and computer storage medium
  • Method and device for recognizing text in image, computer equipment and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0064] The embodiment of the present invention provides a method for recognizing text in an image, which can make the trained model fit the actual scene well and improve the accuracy of text recognition in the image, such as figure 1 As shown, the method includes:

[0065] 101. Acquire a text sample image of a needle-like printed font after scene processing.

[0066] Wherein, the text sample image of a printing-like font may be a ...

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 method and device for recognizing a text in an image, and a computer storage medium, relates to the technical field of text recognition, and aims to expand sample data collected in an actual scene, so that a trained model can well fit the actual scene, and the accuracy of recognizing the text in the image is improved. The method comprises the steps of obtaining a character sample image of a stylus-like printing font after scene processing; respectively inputting the character sample images of the needle-like printed fonts into network models of different architecturesas training data for training to obtain a text region detection model and a text recognition model; when an image text detection request is received, inputting an image requested to be detected intothe text area recognition model, and determining position information of a text area corresponding to the image; and jointly inputting the position information of the text area corresponding to the image and the image requested to be detected into the text recognition model to obtain text information in the image.

Description

technical field [0001] The invention relates to the technical field of text recognition, in particular to a text recognition method, device, computer equipment and computer storage medium in an image. Background technique [0002] At present, OCR recognition technology can recognize the text in the picture very well, and it is applied in various fields, such as document recognition and bill recognition, which largely replaces manual entry. It greatly saves the trouble of manual entry. A large amount of marked data is an important part of the model training process in OCR recognition technology, which often requires high manpower, material resources and time costs. [0003] Using algorithms to generate text sample data that simulates real scenes to augment the labeled data can reach the scale of labeled data required for model training to a certain extent. However, the text sample data generated by algorithms to simulate scenes are usually continuous strokes, and it is diff...

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): G06K9/00G06K9/62G06K9/34G06N3/04
CPCG06V30/40G06V30/153G06N3/044G06N3/045G06F18/214
Inventor 杨紫崴
Owner 深圳平安医疗健康科技服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap