Handwritten text recognition method and device and electronic equipment

A technology for handwritten text recognition and handwritten characters, applied in the field of character recognition, can solve problems such as consumption, increased computing costs, and large computing resources

Pending Publication Date: 2019-09-06
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of consuming a large amount of unnecessary computing resources and increasing computing costs in related technologies, the present invention provides a handwritten text recognition method and device, and electronic equipment

Method used

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  • Handwritten text recognition method and device and electronic equipment
  • Handwritten text recognition method and device and electronic equipment
  • Handwritten text recognition method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] The implementation environment of the present invention may be an electronic device, such as a smart phone, a tablet computer, or a desktop computer.

[0058] figure 1 It is a structural schematic diagram of a device disclosed in an embodiment of the present invention. The apparatus 100 may be the above-mentioned electronic equipment. like figure 1 As shown, apparatus 100 may include one or more of the following components: processing component 102 , memory 104 , power component 106 , multimedia component 108 , audio component 110 , sensor component 114 , and communication component 116 .

[0059] The processing component 102 generally controls the overall operations of the device 100, such as operations associated with display, phone calls, data communications, camera operations, and recording operations, among others. The processing component 102 may include one or more processors 118 to execute instructions to complete all or part of the steps of the methods descr...

Embodiment 2

[0068] see figure 2 , figure 2 It is a schematic flowchart of a handwritten text recognition method disclosed in an embodiment of the present invention. like figure 2 The shown handwritten text recognition method may include the following steps:

[0069] 201. Acquire a handwritten text image to be recognized.

[0070] In the embodiment of the present invention, the image of the handwritten text to be recognized can be captured by the camera of the electronic device, and the image of the handwritten text to be recognized sent by other electronic devices can also be received. The handwritten text image at least includes written characters with handwriting.

[0071] As an optional implementation, after the handwritten text image to be recognized is acquired, it is judged whether the handwritten text image is a color image, and if the handwritten text image is a color image, the handwritten text image is grayscaled to obtain a grayscale image. High-resolution images can avo...

Embodiment 3

[0086] see image 3 , image 3 It is a schematic flowchart of another handwritten text recognition method disclosed in the embodiment of the present invention. like image 3 As shown, the handwritten text recognition method may include the following steps:

[0087] 301. Acquire handwritten character training samples, where the handwritten character training samples include handwritten character images and text labels associated with the handwritten character images.

[0088] In the embodiment of the present invention, the handwritten character training samples are pre-collected handwritten character samples used for training the neural network model, and the handwritten character training samples include handwritten character images and text labels associated with the handwritten character images. The handwritten character image refers to an image carrying characters handwritten by different people, and each character in the handwritten character image corresponds to a char...

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PUM

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Abstract

The invention relates to the technical field of character recognition, and discloses a handwritten text recognition method and device and electronic equipment. The handwritten text recognition methodcomprises the steps: obtaining a to-be-recognized handwritten text image; performing high-order feature extraction on the handwritten text image by using the convolutional layer of the convolutional neural network model obtained by training to obtain feature data; performing serialization processing on the feature data through a recursion block of the convolutional neural network model, and performing serial processing in the depth direction on the serialized data obtained by the serialization processing to obtain serial serialized data; and mapping the series serialized data to an output label through a linear layer of the convolutional neural network model to obtain an output value. According to the handwritten text recognition method, the target text corresponding to the handwritten text image is acquired according to the output value and the preset semantic library, and the target text corresponding to the handwritten text image is recognized through the convolutional neural network model, and the calculation cost can be greatly reduced on the premise that the detection precision is not affected, and the training speed and the recognition speed of the model are increased.

Description

technical field [0001] The invention relates to the technical field of character recognition, in particular to a handwritten text recognition method and device, and electronic equipment. Background technique [0002] At present, in life, study or work, computers or mobile phones are generally used to record information and generate information texts for easy storage and communication. However, most daily documents are still handwritten, so archiving handwritten text is very important, and because the handwritten text information in the file is difficult to recognize, it is easy for people to manually store the handwritten text, making the storage process more complicated. [0003] With the emergence of deep learning technology, handwritten character recognition based on deep learning has made breakthroughs in methods and performance in recent years. At present, handwritten text recognition methods based on deep learning generally use a combination of Long Short-Term Memory ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/68G06K9/62G06N3/04G06N3/08G06K9/46
CPCG06N3/08G06V10/40G06V30/2455G06N3/044G06N3/045G06F18/214
Inventor 韩茂琨回艳菲陈玥蓉王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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