Image recognition method and device and computing equipment

An image recognition and image technology, applied in the field of image processing, can solve the problems of text bending, rotation, vertical, complex shape distortion of text, and inability to accurately recognize text, etc., to reduce the difficulty of prediction and improve the accuracy.

Pending Publication Date: 2021-07-23
BEIJING YOUZHUJU NETWORK TECH CO LTD
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in some scenarios, such as restaurant signs, product labels, company logos, etc., the shape of the text will be complex and distorted, such as the text is severely bent, rotated, vertical, etc. In these scenarios, the current object recognition technology cannot Accurately recognize text in 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
  • Image recognition method and device and computing equipment
  • Image recognition method and device and computing equipment
  • Image recognition method and device and computing equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0030] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to an image recognition method, device, and computing equipment.

[0031] In order to facilitate the understanding of the embodiments of the present application, firstly, the relevant concepts involved in the embodiments of the present application are briefly introduced as follows:

[0032] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that 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 embodiment of the invention provides an image recognition method and device and computing equipment. The method comprises the steps: acquiring a to-be-processed first image; inputting the first image into an optical character recognition network, and obtaining character information in the first image, wherein the optical character recognition network is trained in an auxiliary mode through a semantic segmentation network, and the semantic segmentation network is used for predicting position information of characters in the image; and sharing the features extracted by the intermediate layer of the optical character recognition network with the optical character recognition network. According to the invention, the semantic segmentation network assists in training the optical character recognition network, so that the optical character recognition network automatically notices the character region in the first image, thereby reducing the prediction difficulty of the optical character recognition network, improving the precision of the optical character recognition network, and realizing the accurate recognition of a complex scene, such as seriously bent, rotated and vertical characters.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular, to an image recognition method, device, and computing device. Background technique [0002] With the development of deep learning, target recognition technology has become more and more mature. For example, Optical Character Recognition (OCR) is a method of analyzing and recognizing images to obtain text and layout information in images. [0003] However, in some scenarios, such as restaurant signs, product labels, company logos, etc., the shape of the text will be complex and distorted, such as the text is severely bent, rotated, vertical, etc. In these scenarios, the current object recognition technology cannot Accurately recognize text in images. Contents of the invention [0004] Embodiments of the present application provide an image recognition method, device, and computing device for realizing accurate recognition of characters in ...

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): G06K9/34G06N3/04G06N3/08
CPCG06N3/08G06V30/153G06V30/10G06N3/045
Inventor 范湉湉卢永晨黄灿王长虎
Owner BEIJING YOUZHUJU NETWORK TECH CO LTD
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