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文章基本信息

  • 标题:Recent Trends and Tools for Feature Extraction in OCR Technology
  • 本地全文:下载
  • 作者:Om Prakash Sharma ; M. K. Ghose ; Krishna Bikram Shah
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:2
  • 期号:6
  • 页码:220-223
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:his paper presents a recent trends and tools used for feature extraction that helps in efficient classification of the handwritten alphabets. Numerous models of feature extraction have been defined by different researchers in their respective dissertation. It is found that the use of Euler Number in addition to zoning increases the speed and the accuracy of the classifier as it reduces the search space by dividing the character set into three groups.
  • 关键词:Handwritten Character Recognition; Feature;Extraction; Zoning; Euler Number; Classification.
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