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A Uighur handwritten letter recognition method, system and electronic equipment

A recognition method and technology of text letters, applied in the field of text recognition, to achieve the effect of high recognition accuracy, improved performance, and enhanced versatility

Active Publication Date: 2022-03-25
XINJIANG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Deep learning has demonstrated its advantages in many fields of pattern recognition, and thus has received extensive attention and applications [Alom M Z, Sidike P, Hasan M, et al. Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks[J].2017.], but there is no relevant research on the recognition of Uyghur handwritten letters using deep learning technology

Method used

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  • A Uighur handwritten letter recognition method, system and electronic equipment
  • A Uighur handwritten letter recognition method, system and electronic equipment
  • A Uighur handwritten letter recognition method, system and electronic equipment

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Embodiment Construction

[0058] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0059] Aiming at the problem of Uyghur handwritten letter recognition existing in the prior art, the present application uses the deep learning method to carry out handwriting recognition research on 128 written forms of Uyghur letters, and converts the preprocessed online Uyghur handwritten letter samples into binary images. Convolutional neural networks are then used for automatic feature extraction and classification, and different network structures and configurations are used to recognize letter images of different sizes.

[0060] Specifically, see figure 1 , is ...

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Abstract

The present application belongs to the technical field of character recognition, and in particular relates to a Uighur handwritten letter recognition method, system and electronic equipment. The method for recognizing Uyghur handwritten letters includes: step a: collecting / reading / reading the original handwritten samples of Uyghur letters; step b: preprocessing the original handwritten samples, converting the original handwritten samples into two value image; step c: input the binary image into the convolutional neural network for classification training and testing, and obtain the recognition result of the original handwritten sample. The application effectively improves the performance of the network model, and the recognition accuracy is high.

Description

technical field [0001] The present application belongs to the technical field of character recognition, and particularly relates to a method, system and electronic device for recognizing Uyghur handwritten letters. Background technique [0002] Handwriting recognition is one of the most typical applications of pattern recognition [Gao Y, Jin L, He C, et al.HandwritingCharacter Recognition as a Service:A New Handwriting Recognition System Basedon Cloud Computing[J].2011:885-889.]. From the earliest applications of number and address checking in postal and banking services, to the digitization of historical resources in libraries and museums, handwriting recognition has been gaining popularity in office, automation and everyday communications. Currently, it is one of the most popular attributes of human-machine interactive smart devices. There are two main branches of handwriting recognition, online handwriting recognition and offline handwriting recognition [Liu C L, Yin F, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V30/148G06K9/62G06N3/04G06V30/19
CPCG06V30/153G06N3/045G06F18/241G06F18/214
Inventor 艾斯卡尔·艾木都拉吾加合买提·司马义玛依热·依布拉音
Owner XINJIANG UNIVERSITY
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