Recognition method for recognizing on-line handwritten Chinese and Japanese

A recognition method and recognition technology, applied in the field of character recognition

Inactive Publication Date: 2017-04-19
上海新同惠自动化系统有限公司
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since Chinese, Japanese, and Korean have thousands of different categories and huge character sets, exist

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
  • Recognition method for recognizing on-line handwritten Chinese and Japanese
  • Recognition method for recognizing on-line handwritten Chinese and Japanese
  • Recognition method for recognizing on-line handwritten Chinese and Japanese

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0031] 1) Build a compact online MRF recognizer

[0032] First, the input handwritten text is linearly normalized while keeping the horizontal and vertical ratios of the original input text unchanged, and converted into a standard-sized text, and then the feature points are re-extracted. For each side of the input single character, first select the start point and end point of the side as the feature point; secondly, if the distance between a certain point on the side and the adjacent feature point is greater than a certain Threshold, the point is also selected as a feature point. In this way, feature points are selected until there are no other feature points available. as attached figure 2 As shown, the dots in a and b are feature points. The MRF model is used as the recognition function of the online recognizer. Set feature points from an input module set S={s 1 ,s 2 ,s 3 ,...,s I}. Feature points from an input pattern set S={s 1 ,s 2 ,s 3 ,...,s I}. The recog...

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 a recognition method for recognizing the on-line handwritten Chinese and Japanese. According to the method, the structured dictionary representation and the vector quantization (VQ) are adopted to establish a compact MRF-based online character recognition method, and the method can be used for recognizing large-scale Chinese and Japanese character sets. Characters are decomposed into the free radicals of basic elements for constituting characters. By means of an MRF-based model, identical free radicals for forming different characters are shared, so that the storage space of a dictionary model is saved. In addition, the method simultaneously applies the VQ technique to compress a character recognizer. Therefore, the storage space of the dictionary model is further greatly compressed on the premise that the recognition rate is not lost at all.

Description

technical field [0001] The invention relates to the technical field of character recognition, in particular to a method for recognizing Chinese and Japanese characters in online handwriting. Background technique [0002] During online handwritten character recognition, when a user uses a stylus to write on a dedicated notebook or tablet, a sensor recognizes the movement of the pen tip and the transition of pen up / down. This data is called "digital ink" and can be thought of as a dynamic representation of the handwriting process. Online handwritten character recognition is a technology that automatically converts digital ink into codes that can be edited and retrieved by a computer. Due to the emergence of tablet computers, electronic whiteboards, smart phones and iPads and other electronic devices with touch interface and surface, the application of online handwritten character recognition has become more extensive. Therefore, people need handwritten string pattern recogni...

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
IPC IPC(8): G06K9/00
CPCG06V30/32G06V30/287
Inventor 刘建生
Owner 上海新同惠自动化系统有限公司
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