A method and device for single-character picture and text recognition based on convolutional neural network

A convolutional neural network and text recognition technology, which is applied in the field of single-character image text recognition methods and devices based on convolutional neural networks, can solve the problems of low recognition rate and weak generalization ability, so as to improve the generalization ability and improve the generalization ability. The effect of text recognition rate

Active Publication Date: 2020-12-15
KINGDEE SOFTWARE(CHINA) CO LTD
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AI Technical Summary

Problems solved by technology

Applying this text recognition method of the prior art to carry out text recognition, the recognition rate is not high, and the generalization ability is weak

Method used

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  • A method and device for single-character picture and text recognition based on convolutional neural network
  • A method and device for single-character picture and text recognition based on convolutional neural network
  • A method and device for single-character picture and text recognition based on convolutional neural network

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Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] see figure 1 As shown, it is an implementation flowchart of a convolutional neural network-based single-character image recognition method provided by an embodiment of the present invention. The method may include the following steps:

[0051] S110: Determine a target image to be subjected to character recognition.

[0052] In the embodiment of the present invention, the target image to be recognized ...

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Abstract

The invention discloses a method for character recognition based on a convolutional neural network. The method comprises the following steps: determining a target image to be recognized for character; locating character information in the target image, and extracting each character; Each character of the target image is obtained to obtain multiple unigrams of the target image; each unigram is input into the pre-trained target convolutional neural network, and forward propagation is performed to obtain the text recognition result of each unigram. Applying the technical solution provided by the embodiment of the present invention, the target convolutional neural network is obtained through training a large number of unigram samples, which improves the character recognition rate of the unigram and improves the generalization ability. The invention also discloses a single-character picture and character recognition device based on a convolutional neural network, which has corresponding technical effects.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a convolutional neural network-based method and device for recognizing single-character pictures and characters. Background technique [0002] With the rapid development of computer technology, pattern recognition technology has also been developed rapidly. Character recognition has always been one of the important research topics in the field of pattern recognition. [0003] Characters separated in images often contain deformations, such as rotation, twisting, skewing, etc. The existing character recognition method is to correct the deformed characters by applying nonlinear transformation to the character lattice to reduce the intra-class variance according to the structural characteristics of the characters. For characters containing noise, filter algorithms such as median filtering and Gaussian filtering are used to denoise them. Then the processed char...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06F18/214
Inventor 胡志成蒋菲
Owner KINGDEE SOFTWARE(CHINA) CO LTD
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