• DocumentCode
    2734911
  • Title

    Research on Mathematical Formulas Extraction from Chinese Document

  • Author

    Tian, Xuedong ; Zhang, Liping ; Li, Haiyan ; Shi, Qingxuan

  • Author_Institution
    Intelligent Image & Document Process. Lab, Hebei Univ., Baoding
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4344
  • Lastpage
    4347
  • Abstract
    A new approach for separating mathematics from usual text is presented. Contrary to the existing researches, it is aiming at Chinese mathematical documents and more oriented toward the segmentation than the recognition, separating the formulas outside and inside the text lines. The approach is composed of Parzen windows and Bayes theorem. Improved Parzen windows is used to extract the isolated formulas from the printed documents and Bayes theorem is used to extract the embedded formulas from the text lines. Experiments show that the combination of the two methods can achieve quite satisfactory result
  • Keywords
    Bayes methods; document image processing; feature extraction; image segmentation; Bayes theorem; Chinese mathematical document; Parzen window; mathematical formula extraction; Books; Character recognition; High speed optical techniques; Image converters; Mathematics; Optical character recognition software; Text recognition; Typesetting; Bayes theorem; Embedded formulas; Formula extraction; Isolated formulas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713196
  • Filename
    1713196