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  • 标题:Segmentation of Handwritten Text in Gurmukhi Script
  • 本地全文:下载
  • 作者:Mr. Rajiv K. Sharma ; Dr. Amardeep Singh
  • 期刊名称:International Journal of Image Processing (IJIP)
  • 电子版ISSN:1985-2304
  • 出版年度:2008
  • 卷号:2
  • 期号:3
  • 页码:12-17
  • 出版社:Computer Science Journals
  • 摘要:Character segmentation is an important preprocessing step for text recognition. The size and shape of characters generally play an important role in the process of segmentation. But for any optical character recognition (OCR) system, the presence of touching characters in textual as well handwritten documents further decreases correct segmentation as well as recognition rate drastically. Because one can not control the size and shape of characters in handwritten documents so the segmentation process for the handwritten document is too difficult. We tried to segment handwritten text by proposing some algorithms, which were implemented and have shown encouraging results. Algorithms have been proposed to segment the touching characters. These algorithms have shown a reasonable improvement in segmenting the touching handwritten characters in Gurmukhi script.
  • 关键词:Character Segmentation; Middle Zone; Upper Zone; Lower Zone; Touching Characters
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