Off-line Character Segmentation Technique for Handwritten Cursive Word – A Survey

نویسندگان

  • Dzulkifli Bin Mohamad
  • Fajri Kurniawan
چکیده

This paper presents a survey of segmentation handwritten cursive word images into individual characters. It provides a comprehensive review of segmentation rates and descriptions of test data for the approaches discussed. Techniques that used to decide segmentation points describe in detail. Then the performances are compared in two categories based on number of words and existence of learning system.

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تاریخ انتشار 2008