• DocumentCode
    2080179
  • Title

    Information extraction from telephone company drawings

  • Author

    Arias, Juan F. ; Balasubramanian, Sanjay ; Prasad, Arathi ; Kasturi, Rangachar ; Chhabra, Atul

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    729
  • Lastpage
    732
  • Abstract
    A system for the interpretation of telephone company drawings is described. Two different types of drawings are interpreted: manhole and table drawings. Each drawing is interpreted by using a different approach to suit its characteristics. Manhole drawings represent the interconnection of telephone lines in the field. The approach used is the vectorization of the line segments to extract continuous lines. The table drawings contain information related to the cables in the manhole. The approach is to locate lines and their intersections to extract the information for entries. An Intelligent Character Recognition (ICR) system is used to interpret text information by using grammars
  • Keywords
    image recognition; optical character recognition; telecommunications computing; telephone lines; Intelligent Character Recognition; interpretation; manhole drawings; table drawings; telephone company drawings; text information; Optical character recognition; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323888
  • Filename
    323888