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文章基本信息

  • 标题:Handwritten and Optical Character Recognition by Heuristic and Nearest Neighbor Approach
  • 本地全文:下载
  • 作者:Subodh Bansal ; Dr. Shaveta Rani ; Dr. Paramjeet Singh
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2014
  • 卷号:5
  • 期号:3
  • 页码:106-110
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:In this paper I present an overview of a character recognition technique for on-line and off-line recognition of isolated character’s i.e. for both handwritten and optical. There are 3 basic techniques used which are Nearest Neighbor, horizontal heuristic graphs and vertical heuristic graphs in 2 fashions i.e. least distance measurement and average distance measurement. The efficiency of these methods alone is very less, but efficiency after combining these after many techniques was increased to maximum possible up to 99.52%.
  • 关键词:Optical Character recognition;Handwritten Character Recognition; NN;Horizontal Histogram;Vertical Histogram
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