H-014 A Development of Pattern-based Online Handwriting Uyghur Character Recognition System

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概要

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• This paper describes the experimental results of pattern-based online Uyghur character recognition. For the purpose of classification of the sub-word patterns, samples containing 4 million characters were collected and analyzed. As the result of the analysis, we found that a pattern-based recognition approach was applicable effectively, because average recognition rate on the 12 volunteers' data became 91% for one-character sub-words and 87% for two-character sub-words. We also discuss that a better recognition rate will be obtain by improving the standard pattern database for our system.

• FIT(電子情報通信学会・情報処理学会)推進委員会の論文
• 2009-08-20

著者

• Zaydun Yidayet

  電機大

• Saitoh Tsuyoshi

  電機大

関連論文

• H-014 A Development of Pattern-based Online Handwriting Uyghur Character Recognition System
• I_045 Sub-word Structure Analysis of Uyghur Language and Its Application to Character Recognition

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