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Pattern Recognition Approaches to Japanese Character Recognition

  • Soumendu Das
  • Sreeparna Banerjee
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

Optical character recognition is a crucial step in the document retrieval and analysis. However this process could be error prone, especially in Japanese language, where the text is composed from over 3000 characters which can be classified as syllabic characters, or Kana, and ideographic characters, called Kanji. Moreover, Japanese text does not have delimiters like spaces, separating different words. Also, the fact that several characters could be homomorphic, i.e. having similar shape definition could add to the complexity of the recognition process. In the note, a survey has been conducted of some of the approaches that have been attempted to address these issues and devise schemes for Japanese character recognition in texts. Also, our efforts to extract Japanese text using image processing techniques have been described and some of the results have been presented.

Keywords

Japanese character recognition hiragana katakana and kanji document retrieval 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Engineering TechnologyWest Bengal University of TechnologyKolkataIndia

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