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Training device for classification network for character recognition, character recognition device and method

A classification network, character recognition technology, applied in the information field

Active Publication Date: 2021-08-10
FUJITSU LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with modern Chinese character recognition, ancient document Chinese character recognition is a very challenging problem

Method used

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  • Training device for classification network for character recognition, character recognition device and method
  • Training device for classification network for character recognition, character recognition device and method
  • Training device for classification network for character recognition, character recognition device and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a schematic diagram of a training device for a classification network for character recognition according to Embodiment 1 of the present invention. Such as figure 1 As shown, the training device 100 includes:

[0027] Extracting unit 101, it is used for extracting the feature of each unmarked sample that comprises character;

[0028] A construction unit 102, configured to construct a sample pair according to the extracted features of each unlabeled sample;

[0029] A first training unit 103, which is used to train the symmetric network according to the constructed sample pair;

[0030] Initialization unit 104, which is used to initialize the classification network for character recognition by utilizing the parameters of the trained symmetric network;

[0031] The second training unit 105 is configured to train the initialized classification network by using the labeled samples containing characters.

[0032] It can be seen from the above-mentioned em...

Embodiment 2

[0075] An embodiment of the present invention also provides a character recognition device, which includes a classification network for character recognition trained according to the training device described in Embodiment 1.

[0076] Figure 6 It is a schematic diagram of the character recognition device of Embodiment 2 of the present invention. Such as Figure 6 As shown, the character recognition device 600 includes:

[0077] A classification network 601 for character recognition, the classification network 601 is obtained by training with a training device. Wherein, the structure and function of the training device are the same as those described in Embodiment 1, and will not be repeated here.

[0078] For example, the character recognition device includes a storage unit, and the storage unit stores the classification network for character recognition trained by the training device described in Embodiment 1.

[0079] It can be seen from the above-mentioned embodiments ...

Embodiment 3

[0081] The embodiment of the present invention also provides an electronic device, Figure 7 It is a schematic diagram of the electronic device of Embodiment 3 of the present invention. Such as Figure 7 As shown, the electronic equipment 700 includes a training device 701 or a character recognition device 702, wherein the structure and function of the training device 701 are the same as those described in Embodiment 1, and the structure and functions of the character recognition device 702 are the same as those described in Embodiment 2 , which will not be repeated here.

[0082] Figure 8 It is a schematic block diagram of the system configuration of the electronic equipment according to Embodiment 3 of the present invention. Such as Figure 8 As shown, the electronic device 800 may include a central processing unit 801 and a memory 802; the memory 802 is coupled to the central processing unit 801. This diagram is exemplary; other types of structures may also be used, i...

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Abstract

A training device for a classification network used for character recognition, a character recognition device and a method. The device and method train the symmetric network by constructing sample pairs from unlabeled samples, initialize the classification network by using the parameters of the trained symmetric network, and use the marked samples to train the initialized classification network, which can improve the performance of the classification network. Recognition accuracy and effectively save labeling costs.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a training device for a classification network used for character recognition, a character recognition device and a method. Background technique [0002] Due to the needs of data preservation and information technology development, there is an increasing demand for electronic documentation. Thus, character recognition in document images is increasingly important. For some special characters, such as Chinese characters in ancient documents, it is very important to recognize them for the digitization of classical documents, the arrangement of ancient books and cultural preservation. However, compared with modern Chinese character recognition, ancient document Chinese character recognition is a very challenging problem. First of all, the number of Chinese characters in ancient documents is much larger than that of modern Chinese characters; secondly, the structure of Chinese ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V30/191
Inventor 范伟孙俊
Owner FUJITSU LTD