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Handwriting recognition method based on handwriting coordinate sequence

A coordinate sequence and handwriting technology, applied in the field of handwriting recognition, can solve problems such as inability to make full use of time features and inability to recognize characters

Inactive Publication Date: 2017-02-15
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: the purpose of the present invention is to provide a method for recognizing the time series of handwriting input handwriting coordinates for the prior art that cannot make full use of the time characteristics in the handwriting process and cannot perform character recognition in the handwriting process

Method used

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  • Handwriting recognition method based on handwriting coordinate sequence
  • Handwriting recognition method based on handwriting coordinate sequence
  • Handwriting recognition method based on handwriting coordinate sequence

Examples

Experimental program
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Embodiment 1

[0097] Such as figure 1 As shown, the system structure diagram of this embodiment is divided into three parts: handwriting input collection, input data coordinate processing and trainer.

[0098] The specific working steps of the system are given as follows:

[0099] Step 1) Consider the text range to be processed, and select a corresponding text encoding method. You can choose to use a common character set that has been widely used, or you can write a specific code set for the text to be recognized. The code set is preset in the system, and the system output will be selected from the code set. Different encoding methods will affect the mapping function of the output layer of the LSTM model. The mapping function needs to map the output result of the hidden layer to a text encoding. The more complex the text encoding method, the more complex the mapping function. This example recognizes English characters, so the ASCII encoding method is adopted, the mapping function is dir...

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Abstract

The invention discloses a handwriting recognition method based on a handwriting coordinate sequence. The method includes acquiring a lot of data of the handwriting coordinate sequence, obtaining a general recognition model, and then training the handwriting coordinate sequence of a user through the recursive neural network to form a recognition model adaptive to the user's handwriting habit. Because the time characteristic of the user's handwriting is recorded, after the training, the recognition model adaptive to the user's handwriting habit is formed, so that the recognition precision is high. According to the invention, the training model calculation speed can be adjusted for the handwriting speed of different users by changing the sampling frequency of a handwriting input device, and the data volume of the handwriting coordinate sequence; and moreover, the recognition can be carried out during the handwriting, and the recognition efficiency is high.

Description

technical field [0001] The invention relates to the field of handwriting recognition, in particular to a handwriting recognition method for time series of handwriting input handwriting. Background technique [0002] Handwriting Recognition refers to the process of recognizing the orderly trajectory of handwriting on a handwriting device and converting it into effective text information. With the popularity of mobile devices and smart devices, handwriting input, as one of the most effective means of human-computer interaction, is being used on an increasing scale. [0003] Currently, handwriting input recognition algorithms are similar to gesture recognition algorithms. It samples the input of the handwriting device, converts the handwriting trajectory into an ordered set of vectors, and then filters the noise to classify the ordered set of vectors. For letters such as English, because a single character is relatively simple, the recognition rate is relatively high. Howeve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V30/333G06V30/36G06V30/10G06N3/045
Inventor 秦阳邓睿莫凌飞孙磊杜喆宁姚昕羽齐恒
Owner SOUTHEAST UNIV
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