• DocumentCode
    183244
  • Title

    Connected Bond Recognition for Handwritten Chemical Skeletal Structural Formulas

  • Author

    Peng Tang ; Siu Cheung Hui ; Chi-Wing Fu

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    1-4 Sept. 2014
  • Firstpage
    122
  • Lastpage
    127
  • Abstract
    Recognizing handwritten chemical structural formulas is challenging due to the spatial complexity involved, especially for chemical skeletal structural formulas. In chemical skeletal structural formulas, the Carbon atoms are omitted in the drawing of chemical connected bonds, in which the single bonds are connected with hidden Carbon atoms as the connection points. To recognize chemical skeletal structural formulas, it is important to recognize the connected bond strokes and differentiate them from other similar symbols. Moreover, even if the connected bond stroke is identified, it is also challenging to split the connected bond stroke into several single bonds and identify the locations of the hidden Carbon atoms, and its positional relationship in the overall chemical structure. In this paper, we propose a progressive approach for recognizing chemical skeletal structural formulas, in particular the connected bonds. The proposed approach recognizes a chemical formula progressively while the user draws the chemical skeletal structural formula.
  • Keywords
    bonds (chemical); chemistry computing; computational complexity; handwriting recognition; bond stroke; carbon atoms; chemical connected bond; connected bond recognition; connection point; handwritten chemical skeletal structural formulas; handwritten chemical structural formula recognition; hidden carbon atom; overall chemical structure; positional relationship; spatial complexity; Carbon; Chemicals; Educational institutions; Euclidean distance; Handwriting recognition; Shape; Chemical Skeletal Structural Formula; Connected Bond Recognition; Progressive Structural Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
  • Conference_Location
    Heraklion
  • ISSN
    2167-6445
  • Print_ISBN
    978-1-4799-4335-7
  • Type

    conf

  • DOI
    10.1109/ICFHR.2014.28
  • Filename
    6981007