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A novel approach to persian online hand writing recognition

Halavati, R ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. Publisher: 2005
  3. Abstract:
  4. Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting which is based on representation of inputs and patterns with very simple visual features and comparison of these simple terms. This recognition approach is tested over a set of Persian words and the results have been quite acceptable when the possible words where unknown and they were almost all correct in cases that the words where chosen from a prespecified list. COPYRIGHT © ENFORMATIKA
  5. Keywords:
  6. Automation ; Image processing ; Online systems ; Problem solving ; Automatic handwriting recognition ; Online hand writing recognition ; Visual features ; Pattern recognition
  7. Source: Wec 05: Fourth World Enformatika Conference, Istanbul, 24 June 2005 through 26 June 2005 ; Volume 6 , 2005 , Pages 232-236 ; 9759845857 (ISBN)
  8. URL: https://publications.waset.org/13915/a-novel-approach-to-persian-online-hand-writing-recognition