• DocumentCode
    3141879
  • Title

    Cooperative text and line-art extraction from a topographic map

  • Author

    Li, Luyang ; Nagy, George ; Samal, Ashok ; Seth, Sharad ; Xu, Yihong

  • Author_Institution
    Panasonic Inf. & Networking Lab., Princeton, NY, USA
  • fYear
    1999
  • fDate
    20-22 Sep 1999
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    The black layer is digitized from a USGS topographic map digitized at 1000 dpi. The connected components of this layer are analyzed and separated into line art, text, and icons in two passes. The paired street casings are converted to polylines by vectorization and associated with street labels from the character recognition phase. The accuracy of character recognition is shown to improve by taking account of the frequently occurring overlap of line art with street labels. The experiments show that complete vectorization of the black line-layer bitmap is the major remaining problem
  • Keywords
    cartography; document image processing; optical character recognition; USGS; black line-layer bitmap; character recognition; experiments; icons; line-art extraction; polylines; street labels; text extraction; topographic map; vectorization; Art; Character recognition; Data mining; Electrical capacitance tomography; Graphics; Information resources; Laboratories; Read only memory; Roads; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    0-7695-0318-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1999.791826
  • Filename
    791826