Off-line handwritten Chinese character font recognition method based on deep convolutional neural network

A technology of convolutional neural network and recognition method, which is applied in the field of offline handwritten Chinese font recognition, can solve problems such as poor recognition effect, and achieve the effect of improving recognition effect and high recognition accuracy

Inactive Publication Date: 2018-11-06
ZHEJIANG UNIV OF TECH
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor recognition effect of existing offline handwritten Chinese font recognition methods, the present invention provides an offline handwritten Chinese font recognition method based on a deep convolutional neural network to improve the recognition effect

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Off-line handwritten Chinese character font recognition method based on deep convolutional neural network
  • Off-line handwritten Chinese character font recognition method based on deep convolutional neural network
  • Off-line handwritten Chinese character font recognition method based on deep convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] refer to figure 1 and figure 2 , an offline handwritten Chinese font recognition method based on a deep convolutional neural network, comprising the following steps:

[0029] 1) Acquisition and reading of Chinese character images;

[0030] 2) Process the image, the process is as follows:

[0031] 2.1) First of all, Chinese characters must be segmented, and all Chinese characters in the picture should be divided into one picture and one Chinese character;

[0032] 2.2) Then compress or enlarge the image, because the segmented image may not meet the recognition input, so the image needs to be normalized, and the unified size is 64*64 pixels;

[0033] 3) Read in the processed picture group, use the trained deep convolutional neural network to identify, and output the result;

[0034] The deep convolutional neural network includes 3 convolutional layers, 3 poo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an off-line handwritten Chinese character font recognition method based on a deep convolutional neural network. The off-line handwritten Chinese character font recognition method includes the following steps: 1) collecting and reading Chinese character images; 2) processing the images, including the following steps: 2.1) segmenting the Chinese characters, segmenting all theChinese characters in the images into one Chinese character for one image; and 2.2) compressing or zooming the images, performing normalization on the images as the segmented images cannot satisfy input of recognition, wherein the unified size is 64*64 pixel; and 3) reading the processed image group, performing recognition through the trained deep convolutional neural network, and outputting the result. The off-line handwritten Chinese character font recognition method based on a deep convolutional neural network can improve the recognition effect.

Description

technical field [0001] The invention belongs to the technical field of image classification, in particular to an off-line handwritten Chinese font recognition method based on a deep convolutional neural network Background technique [0002] Offline handwritten Chinese character recognition is a sub-direction in the field of pattern recognition. Offline means that the handwritten text to be processed is a two-dimensional image of the handwritten text collected by an image capture device such as a scanner or a camera. In the field of handwriting research, Casey and Nag successfully recognized 1000 printed Chinese characters using template matching in 1966. In the late 1970s, the research on offline handwritten Chinese character recognition has attracted widespread social attention. Different from English recognition, Chinese character recognition is very difficult. The difficulties include the following points: there are many types of Chinese characters (there are more than ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/62G06N3/04
CPCG06V30/153G06V10/267G06N3/045G06F18/241G06F18/214
Inventor 陆成刚黄成斌
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap