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논문검색

Survey on the Features for Recognition of on-line Handwritten Uyghur Characters

원문정보

Wujiahemaiti Simayi, Mayire Ibrayim, Dilmurat Tursun, Askar Hamdulla

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초록

영어

This survey attempts to provide a detailed overview of the previous work on Uyghur on-line handwritten character recognition technology and mainly focuses on investigating the feature extraction algorithms that have been presented or applied to Uyghur characters. Statistical, structural and combined-hybrid approaches for feature extraction technology for Uyghur characters are going to be explored. Besides the popular feature extraction methods which perhaps are granted to be taken into consideration for all letter kinds, the study on Uyghur handwritten recognition contributed new features and extraction algorithms for pattern recognition. Summarization on observing methods and extracted features from the published work and suggestions for further attempts would be valuable reference for the up-coming research activities on finding more efficient features.

목차

Abstract
 1. Background
 2. Handwriting Properties of Uyghur Characters
 3. Introduction to On-line Handwritten Recognition Framework
 4. Previous Work on Feature Extraction Techniques
 5. Summarize and Suggestion
  5.1 Major Problems in Recognition of On-line Handwritten Uyghur Characters
  5.2 Review and Suggestion on Feature Extraction
 6. Conclusions and Future Direction
 Acknowledgements
 References

키워드

  • Online handwriting recognition
  • Uyghur characters
  • Feature Extraction

저자정보

  • Wujiahemaiti Simayi Institute of Information Science and Engineering, Xinjiang University, China
  • Mayire Ibrayim Institute of Information Science and Engineering, Xinjiang University, China
  • Dilmurat Tursun Institute of Information Science and Engineering, Xinjiang University, China
  • Askar Hamdulla School of Software, Xinjiang University, Urumqi,China 830046

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