Online handwritten Chinese character recognition algorithm and visual key stroke evaluation method

A key technology for Chinese character recognition, applied in the field of pattern recognition, can solve problems such as the analysis of key strokes without character sample trajectories

Pending Publication Date: 2020-12-25
BEIJING INST OF COMP TECH & APPL
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Problems solved by technology

[0007] (1) The existing online handwritten Chinese character recognition algorithm only continuously improves the recognition accuracy by improving the algorithm, and does not analyze the key strokes of the character sample trajectory itself
[0008] (2) The existing online handwritten Chinese character recog

Method used

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  • Online handwritten Chinese character recognition algorithm and visual key stroke evaluation method
  • Online handwritten Chinese character recognition algorithm and visual key stroke evaluation method
  • Online handwritten Chinese character recognition algorithm and visual key stroke evaluation method

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Embodiment Construction

[0071] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0072] The invention provides an online handwritten Chinese character recognition algorithm and a key stroke evaluation method based on a recursive neural network. This method realizes the evaluation of the importance of each trajectory point in the online handwritten Chinese character sample to the system recognition sample, and explains to a certain extent which trajectory points in the sample play a relatively important role when the neural network learns the character sample.

[0073] The invention is oriented to common online handwritten Chinese character recognition tasks, and refers to handwritten Chinese characters based on touch screens and air handwritten Chinese characters based on gestures.

[0074] An onli...

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Abstract

The invention relates to an online handwritten Chinese character recognition algorithm and a visual key stroke evaluation method, and belongs to the technical field of mode recognition. According to the local self-attention mechanism provided by the invention, the attention weight corresponding to the state of the hidden layer at each moment can be generated through the neural network, and the recognition precision of online handwritten Chinese characters can be effectively improved through the attention mechanism. The invention provides a visual key stroke evaluation method in online handwritten Chinese character recognition, and the method comprises the steps: displaying strokes (track points or track segments), which play a key role in recognition, in input character sample track coordinates through a weight generated by a self-attention mechanism; key strokes in an online handwritten Chinese character sample can be evaluated more visually, and the mode of learning the character sample through the neural network is analyzed.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to an online handwritten Chinese character recognition algorithm and a visual key stroke evaluation method. Background technique [0002] With the rapid development of computer technology, especially smart terminals such as mobile phones play an increasingly important role in people's lives, handwriting input has become an important input method for smart terminals. Specifically, handwritten text recognition refers to the process of allowing the sensor to perceive the writing track of a finger or pen, or obtaining the image of the written text or symbols through a camera device, and the computer recognizes the text through a recognition algorithm. Online handwritten Chinese characters mainly refer to Chinese characters written on the touch screen. The data of such handwritten Chinese characters generally includes time series information such as stroke order a...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V30/347G06V30/36G06N3/044G06N3/045G06F18/24
Inventor 任海青杨林王浩枫芦存博
Owner BEIJING INST OF COMP TECH & APPL
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