Convolutional neural network-based single word pattern character recognition method and device

A convolutional neural network and text recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of low recognition rate and weak generalization ability, so as to improve generalization ability and text recognition rate effect

Active Publication Date: 2017-09-08
KINGDEE SOFTWARE(CHINA) CO LTD
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Problems solved by technology

Applying this text recognition method of the prior art to carry out text recogn

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  • Convolutional neural network-based single word pattern character recognition method and device
  • Convolutional neural network-based single word pattern character recognition method and device
  • Convolutional neural network-based single word pattern character recognition method and device

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[0049] In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0050] see figure 1 As shown, it is an implementation flow chart of a method for recognizing characters in a single-character graph based on a convolutional neural network provided by an embodiment of the present invention, and the method may include the following steps:

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

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

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Abstract

A convolutional neural network-based single word pattern character recognition method disclosed by the present invention comprises the following steps of determining a target image on which the character recognition is going to be carried out; positioning the character information in the target image, and extracting the characters; according to the extracted characters, obtaining a plurality of single word patterns of the target image; separately inputting each single word pattern in a pre-trained target convolutional neural network, propagating forwards, and obtaining a character recognition result of each single word pattern. By applying the technical scheme provided by the embodiment of the present invention, the target convolutional neural network is obtained by training a lot of single word pattern samples, and the character recognition rate of the single word patterns and the generalizable ability are improved. The present invention also discloses a convolutional neural network-based single word pattern character recognition device which has the corresponding technical effect.

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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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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