Unlock instant, AI-driven research and patent intelligence for your innovation.

Image recognition method and electronic device

An image recognition and image technology, applied in the information field, can solve problems such as low recognition accuracy, inability to recognize isolated characters, and limited recognition range, and achieve the effect of improving recognition efficiency, improving recognition accuracy, and reducing steps

Active Publication Date: 2021-06-11
TENCENT TECH (SHENZHEN) CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] One: Mathematically transform the image, and then extract features, there may be many errors, resulting in relatively low recognition accuracy, and a large number of mathematical transformations will lead to many complex intermediate operations
[0010] Two: This recognition technology usually cannot recognize isolated characters, and the range of recognition is limited

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 electronic device
  • Image recognition method and electronic device
  • Image recognition method and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Such as figure 1 As shown, this embodiment provides an image recognition method, including:

[0072] Step S110: Determine the region to be recognized corresponding to the object to be recognized in the image to be recognized;

[0073] Step S120: using the specified neural network formed by training with the transformed data set, to identify the area to be identified to obtain the identification result;

[0074] Wherein, the transformation data set includes: a training image containing a preset transformed graphic object and a preset result corresponding to the training image.

[0075] The pattern recognition method described in this embodiment can be applied to a recognition device including a neural network.

[0076] In step S110, the region to be recognized corresponding to the object to be recognized in the image to be recognized will be determined. In this embodiment, the image to be recognized includes various images that require image recognition. The objects ...

Embodiment 2

[0082] Such as figure 1 As shown, this embodiment provides an image recognition method, including:

[0083] Step S110: Determine the region to be recognized corresponding to the object to be recognized in the image to be recognized;

[0084] Step S120: using the specified neural network formed by training with the transformed data set, to identify the area to be identified to obtain the identification result;

[0085] Wherein, the transformation data set includes: a training image containing a preset transformed graphic object and a preset result corresponding to the training image.

[0086] Such as Figure 4 As shown, the method also includes:

[0087] Step S101: Before identifying the region to be recognized to obtain the recognition result, use the training image containing the preset transformed graphic object and the preset result corresponding to the training image to perform neural network training to obtain the specified neural network The internet.

[0088] In th...

Embodiment 3

[0100] Such as figure 1 As shown, this embodiment provides an image recognition method, including:

[0101] Step S110: Determine the region to be recognized corresponding to the object to be recognized in the image to be recognized;

[0102] Step S120: using the specified neural network formed by training with the transformed data set, to identify the area to be identified to obtain the identification result;

[0103] Wherein, the transformation data set includes: a training image containing a preset transformed graphic object and a preset result corresponding to the training image.

[0104] Such as Figure 5 As shown, the method also includes:

[0105] Step S101: Before identifying the region to be recognized to obtain the recognition result, use the training image containing the preset transformed graphic object and the preset result corresponding to the training image to perform neural network training to obtain the specified neural network The internet.

[0106] In th...

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 present invention discloses an image recognition method and device. The image recognition method includes: determining the region to be recognized corresponding to the object to be recognized in the image to be recognized; The area to be recognized is recognized to obtain a recognition result; wherein, the transformed data set includes: a training image containing a preset transformed graphic object and a preset result corresponding to the training image.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an image recognition method and electronic equipment. Background technique [0002] With the development of information technology, image recognition technology has emerged, using image recognition technology to identify the information content in the image, for example, to extract the characters in the image. [0003] In the prior art, the recognition of characters in an image may include the following steps: [0004] Preprocessing the image to extract the part of the image that only includes characters; [0005] Perform feature extraction and parameter estimation on images; [0006] Carry out mathematical changes such as affine transformation or projection transformation according to parameters, and perform morphological correction of characters in the image; [0007] Finally, the corrected characters are recognized to complete the extraction of image information. [0...

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 Patents(China)
IPC IPC(8): G06K9/00
Inventor 孙广宇
Owner TENCENT TECH (SHENZHEN) CO LTD