• DocumentCode
    1639518
  • Title

    Statistical Classification of Spatial Relationships among Mathematical Symbols

  • Author

    Aly, Walaa ; Uchida, Seiichi ; Fujiyoshi, Akio ; Suzuki, Masakazu

  • Author_Institution
    Dept. of Intell. Syst., Kyushu Univ., Fukuoka, Japan
  • fYear
    2009
  • Firstpage
    1350
  • Lastpage
    1354
  • Abstract
    In this paper, a statistical decision method for automatic classification of spatial relationships between each adjacent pair is proposed. Each pair is composed of mathematical symbols and/or alphabetical characters. Special treatment of mathematical symbols with variable size is important. This classification is important to recognize an accurate structure analysis module of math OCR. Experimental results on a very large database showed that the proposed method worked well with an accuracy of 99.57% by two important geometric feature relative size and relative position.
  • Keywords
    decision theory; image classification; mathematics computing; optical character recognition; statistical analysis; alphabetical characters; math OCR; mathematical symbols; spatial relationship classification; statistical classification; statistical decision method; structure analysis module; very large database; Character recognition; Data engineering; Handwriting recognition; Information analysis; Intelligent systems; Mathematics; Optical character recognition software; Spatial databases; Text analysis; Typesetting; geometric features; mathematical documents; mathematical symbols; spatial relationships;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.90
  • Filename
    5277745