• DocumentCode
    1438209
  • Title

    Information extraction from images of paper-based maps

  • Author

    Kasturi, Rangachar ; Alemany, Juan

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    14
  • Issue
    5
  • fYear
    1988
  • fDate
    5/1/1988 12:00:00 AM
  • Firstpage
    671
  • Lastpage
    675
  • Abstract
    The design of a system to extract information automatically from paper-based maps and answer queries related to spatial features and structure of geographic data is considered. The foundation of such a system is a set of image-analysis algorithms for extracting spatial features. Efficient algorithms to detect symbols, identify and track various types of lines, follow closed contours, compute distances, find shortest paths, etc. from simplified map images have been developed. A query processor analyzes the queries presented by the user in a predefined syntax, controls the operation of the image processing algorithms, and interacts with the user. The query processor is written in Lisp and calls image-analysis routines written in Fortran
  • Keywords
    cartography; database management systems; information retrieval; query languages; user interfaces; Fortran; Lisp; closed contours; distances; geographic data; image-analysis algorithms; map images; paper-based maps; query processor; shortest paths; spatial features; syntax; Data mining; Data processing; Database systems; Deductive databases; Feature extraction; Graphics; Image analysis; Image databases; Image processing; Pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/32.6145
  • Filename
    6145