Image recognition method and system and data processing method

A data processing and image technology, applied in the field of image recognition, can solve the problems of low recognition accuracy, improve robustness, improve accuracy, and solve the effect of low recognition accuracy

Pending Publication Date: 2021-10-22
ALIBABA GRP HLDG LTD
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an image recognition method and system, and a data processing method to at least solve the technical problem of low recognition accuracy of keywords in form images in the related art

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 system and data processing method
  • Image recognition method and system and data processing method
  • Image recognition method and system and data processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] According to an embodiment of the present application, an image recognition method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the steps shown in the flow chart Although a logical order is shown, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0035] The method embodiments provided in the embodiments of the present application may be executed in mobile terminals, computer terminals or similar computing devices. figure 1 A hardware structural block diagram of a computer terminal (or mobile device) for realizing the image recognition method is shown. like figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but not lim...

Embodiment 2

[0078] According to an embodiment of the present application, an image recognition device for implementing the above image recognition method is also provided, such as Figure 5 As shown, the apparatus 500 includes: an acquisition module 502 , a first processing module 504 and a second processing module 506 .

[0079] Wherein, the acquiring module 502 is used to acquire the form image; the first processing module 504 is used to process the form image to obtain the form data corresponding to the form image, wherein the form data includes: the text information in the cell in the form image and the cell The structural relationship between; the second processing module 506 is used to process the form data using the form recognition model to obtain the keyword and the structural type of the keyword in the form image, wherein the form recognition model is used to obtain the form data, and the form The data is input to the encoding network to obtain the vector corresponding to the fo...

Embodiment 3

[0094] According to an embodiment of the present application, an image recognition system is also provided, including:

[0095] processor; and

[0096] The memory, connected to the processor, is used to provide the processor with instructions for processing the following processing steps: acquiring the form image; processing the form image to obtain form data corresponding to the form image, wherein the form data includes: The text information and the structural relationship between the cells; use the table recognition model to process the table data, and get the keywords and keyword structure types in the table image, where the table recognition model is used to obtain the table data, and the table data Input to the encoding network to obtain the vector corresponding to the form data, input the vector to the feature extraction network to obtain the characteristics of the form data, input the characteristics of the form data to the classification network, and obtain the keywor...

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 an image recognition method and system and a data processing method. The image recognition method comprises the following steps: acquiring a table image; processing the table image to obtain table data corresponding to the table image, wherein the table data comprises text information in cells in the table image and the structural relation between the cells; processing the table data by using a table recognition model to obtain keywords and structure types of the keywords in the table image, the table recognition model being used for obtaining the table data, inputting the table data to the coding network to obtain vectors corresponding to the table data, inputting the vectors to the feature extraction network to obtain features of the table data, and inputting the features of the table data into a classification network to obtain keywords and structure types of the keywords. According to the method and the system, the technical problem of relatively low recognition accuracy of keywords in table images in related arts is solved.

Description

technical field [0001] The present application relates to the field of image recognition, in particular, to an image recognition method and system, and a data processing method. Background technique [0002] A table is a data visualization method that visually shows how data is organized. Currently, OCR (Optical Character Recognition, Optical Character Recognition) is commonly used to recognize form images. However, the text blocks output by this method lack the original data structure information, resulting in low recognition accuracy. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] Embodiments of the present application provide an image recognition method and system, and a data processing method to at least solve the technical problem of low recognition accuracy of keywords in form images in the related art. [0005] According to an aspect of the embodiment of the present application, an image recognition...

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): G06K9/00G06K9/34
Inventor 张诗禹高飞宇王永攀郑琪罗楚威
Owner ALIBABA GRP HLDG 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