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文章基本信息

  • 标题:Angular Skew Correction Algorithm for Handwritten Hindi Text
  • 作者:Rohit Sharma ; Utkarsh Mathur ; Naveen Srivastava
  • 期刊名称:International Journal of Advanced Computer Research
  • 印刷版ISSN:2249-7277
  • 电子版ISSN:2277-7970
  • 出版年度:2013
  • 卷号:3
  • 期号:10
  • 页码:43-46
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:In large scale document digitalization of hand written and printed documents, they are scanned and stored in digital form. Since many of these documents are hand written they have errors like angular skewness of words. Skew detection and removal is a part of pre-processing before using OCR software to digitalize the documents. One type of skewness that is most difficult to detect and correct is angular skewness that exist in each of the hand written words. In this paper we propose and test algorithms that can be used for angular skew detection and correction of hand written Hindi text.
  • 关键词:Document pre-processing; skew correction; skew detection; angular skew.
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