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

Character recognition improved training method based on center loss

A text recognition and training method technology, applied in the field of optical text recognition, can solve problems such as poor recognition results of near-shaped characters, and achieve the effect of improving the recognition rate, improving the recognition effect, and improving the accuracy rate

Active Publication Date: 2021-08-31
WHALE CLOUD TECH CO LTD
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can achieve ideal recognition results in most cases, but the recognition results for near-form characters are usually poor.

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
  • Character recognition improved training method based on center loss
  • Character recognition improved training method based on center loss
  • Character recognition improved training method based on center loss

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention, and are mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments, for reference Those of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0053]According to an embodiment of the present invention, an improved training method for character recognition based on center loss is provided.

[0054] Now in conjunction with accompanying drawing and specific embodiment the present invention is further described, as Figure 1-4 As shown, the text recognition improvement training m...

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 character recognition improved training method based on center loss, and the method comprises the following steps: S1, carrying out the training on a character recognition data set till convergence, and obtaining a pre-training model; S2, obtaining the feature center of a single character by extracting the feature of the last connection layer of the convolutional loop network, and constructing the feature center of a dictionary by using the obtained feature center of the single character; and S3, continuing to train the pre-training model until convergence. The method has the beneficial effects that by adopting the center loss training model module, the feature space of the same character can be more compact, the characters with similar shapes can be closer to respective feature centers, the characters with the similar shapes are easier to distinguish, and under the condition that the size of the model and the reasoning speed are not changed, the character recognition accuracy of the model is improved.

Description

technical field [0001] The invention relates to the field of optical character recognition, in particular to an improved training method for character recognition based on center loss. Background technique [0002] Text recognition technology is a very widely used method to recognize text from images. It mainly uses image processing and pattern recognition technologies to recognize optical characters in pictures and translate them into computer text. It is widely used in production and life, such as ID card, driver's license, passport, form, invoice and other image recognition containing text information. [0003] At present, the most widely used text recognition technology is a method of training with a convolutional recurrent neural network as the backbone network, coupled with a time-domain classification loss function or an attention-based loss function. This method can achieve ideal recognition results in most cases, but the recognition results for near-form characters...

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
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V30/413G06V30/10G06N3/045G06F18/214
Inventor 廖翔宇张翊吴名朝
Owner WHALE CLOUD TECH CO LTD