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A Survey on Methods for Basic Unit Segmentation in Off-Line Handwritten Text Recognition

초록

영어

Studies on recognizing different kind of handwritten texts have been conducted and achieved great success for some letters. This paper reviews the segmentation techniques on English handwritten recognition, which is one of the most successful one up to date. Also, considering the very much relations between Arabic and Uyghur which we are aiming to get progress on its handwritten recognition technology, references from Arabic handwritten recognition are very much hoped to get. Characteristics of Uyghur handwriting texts and some of the encountered difficulties are described. Then referencing the successful work on English and Arabic basic unit segmentation, this paper tries to give some suggestions for Uyghur basic unit segmentation research.

목차

Abstract
 1. Background
 2. Procedures of Handwritten Text Recognition
 3. English and Arabic Research Works Review
  3.1. Handwriting Properties of English
  3.2. Related Work on English Word Segmentation
  3.3. The Characteristics of Arabic Handwritten Text and Related Research
 4. About the Handwritten Uyghur Texts and Comparisons with English and Arabic Languages
  4.1. The Writing Characteristics of Uyghur
  4.2. Comparison
 5. Summarize and Suggestion
 6. Conclusions
 References

저자정보

  • Aysadet Abliz Institute of Information Science and Engineering, Xinjiang University, China
  • Wujiahemaiti Simayi Institute of Information Science and Engineering, Xinjiang University, China
  • Kamil Moydin Institute of Information Science and Engineering, Xinjiang University, China
  • Askar Hamdulla Institute of Information Science and Engineering, Xinjiang University, China

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