• DocumentCode
    311107
  • Title

    Directional mathematical morphology approach for line thinning and extraction of character strings from maps and line drawings

  • Author

    Luo, Huizhu ; Agam, Gady ; Dinstein, Itshak

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Volume
    1
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    257
  • Abstract
    The use of computer aided design requires line drawings and maps to be digitized and stored in databases. The input of line drawings and maps into databases requires vectorization of lines, and recognition of symbols and characters. The paper addresses two aspects related to the input process. The first aspect is an automatic algorithm for the separation of character strings from maps. The second aspect is an algorithm for line thinning. The proposed algorithms are based on directional morphology operations. The character string extraction algorithm is independent of font style, size, and language and is suitable for a variety of map styles with straight or curved lines. The presented experimental results demonstrate very good performance of the algorithms even in cases where the character strings touch or intersect lines in the map
  • Keywords
    CAD; cartography; character recognition; feature extraction; mathematical morphology; string matching; visual databases; automatic algorithm; character string extraction; computer aided design; databases; directional mathematical morphology approach; directional morphology operations; line drawings; line thinning; line vectorization; maps; symbol recognition; Character recognition; Databases; Engineering drawings; Graphics; Morphological operations; Morphology; Roads; Robotics and automation; TV; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.598989
  • Filename
    598989