Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Segmentation and Recognition Method for Handwritten Uighur Words

A recognition method and word technology, applied in the field of handwriting recognition, can solve the problems that the preprocessing technology is not easy to get the best effect and affects the segmentation effect, etc.

Active Publication Date: 2021-10-12
XINJIANG UNIVERSITY
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Special preprocessing techniques such as tilt correction, baseline position detection and additional stroke detection are not easy to get the best results, thus affecting the segmentation 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
  • A Segmentation and Recognition Method for Handwritten Uighur Words
  • A Segmentation and Recognition Method for Handwritten Uighur Words
  • A Segmentation and Recognition Method for Handwritten Uighur Words

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0107] If the overall shape of a Uyghur word and the individual letters it contains are written according to the rules, word segmentation can be handled conveniently by implementing explicit segmentation methods. However, the handwriting process often does not obey various writing rules, and the same letter or word is completed with various styles and writing sequences. Therefore, the implicit segmentation method of dynamically searching segmentation points is a natural choice for handwritten word segmentation research. Although handwriting samples vary in shape, there should be some common properties that make them correct and readable. Individual letters in handwritten words can always be segmented with some information points. It is common to write different letters together in the handwriting process of Uyghur words, which increases the difficulty of the word segmentation task.

[0108] Although Uyghur and Arabic have many similar letters, Uyghur character segmentation i...

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

A handwritten Uighur word segmentation recognition method of the present invention belongs to the field of handwriting recognition, and is particularly suitable for the word segmentation recognition method of handwritten Uyghur words on a mobile terminal. The technical problem to be solved by the present invention is to provide a word segmentation method that does not detect delayed strokes in advance and utilizes local information of handwritten traces, comprising the following steps: preprocessing; detection of local information points of traces; detection of straight points in handwritten traces , local maximum point / peak point, local minimum point / valley point, local rightmost point, local leftmost point, intersection point, and information points such as the starting point and end point of each stroke; word over-segmentation based on trajectory local information points; cutting Merge the pieces; combine the cut pieces to form letters. The handwritten Uyghur word segmentation method of the present invention does not need to delay the stroke processing in advance, so the processing is faster, has higher versatility, and is suitable for the segmentation of natural handwritten words.

Description

technical field [0001] The invention belongs to the field of handwriting recognition, and is particularly suitable for a recognition method for word segmentation of handwritten Uighur words on a mobile terminal. Background technique [0002] Handwriting recognition is one of the widely used branches in the field of pattern recognition. There are two types of handwriting recognition, one is the online handwriting recognition technology for recognizing the handwriting track recorded in real time, and the other is the recognition technology for handwriting style images, that is, the off-line handwriting recognition technology. The implementation methods of handwriting recognition are different for different languages ​​or characters. Letters in some texts are units of meaning, such as Chinese. For handwriting recognition where letters are meaning units, it mainly recognizes all the letters it contains, and the number of commonly used letters is limited. It is entirely possibl...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/40
CPCG06V30/32G06V30/153G06V10/30
Inventor 艾斯卡尔·艾木都拉吾加合买提·司马义玛依热·依布拉音
Owner XINJIANG UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com