• DocumentCode
    3327760
  • Title

    Graphical symbol retrieval using a branch and bound algorithm

  • Author

    Nayef, Nibal ; Breuel, Thomas M.

  • Author_Institution
    Tech. Univ. of Kaiserslautern, Kaiserslautern, Germany
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2153
  • Lastpage
    2156
  • Abstract
    Graphical symbol spotting and retrieval in document images is an important sub-field in document analysis. This paper presents a branch and bound algorithm for spotting a queried graphical symbol in documents. The technique utilizes geometric primitives as feature points. The preprocessing of the input images involves applying some ordinary morphological operations and then sampling to get points or segments. As for the search; a branch and bound geometric matching algorithm is used to locate the required symbol(s) in the documents. The presented method has been tested on documents that contain electronic circuits and it achieved high accuracy.
  • Keywords
    computer graphics; document image processing; image retrieval; information retrieval; tree searching; branch and bound geometric matching algorithm; document analysis; document image retrieval; electronic circuit; graphical symbol retrieval; graphical symbol spotting; queried graphical symbol; Algorithm design and analysis; Books; Image edge detection; Indexing; Shape; Text analysis; Symbol Retrieval; branch and bound algorithm; document analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651137
  • Filename
    5651137