• DocumentCode
    3021704
  • Title

    A hierarchical method for automated identification and segmentation of forms

  • Author

    Mandal, S. ; Chowdhury, S.P. ; Das, A.K. ; Chanda, Bhabatosh

  • Author_Institution
    CST Dept., Bengal Eng. & Sci. Univ., Shibpur, India
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    705
  • Abstract
    In this paper we propose a fully automatic hierarchical method for identification of forms using global as well as local features. Moments of certain orders are considered as global shape features and are utilised to reduce the search space by selecting a subset of forms present in the database. The type of the candidate form is then identified within this subset through detail analysis using local geometrical and topological features. The candidate form is then segmented to extract the user-filled information.
  • Keywords
    business forms; document image processing; feature extraction; image segmentation; feature extract; form identification; form segmentation; geometrical features; search space; shape features; topological features; Costs; Data mining; Feature extraction; High performance computing; Image reconstruction; Process design; Prototypes; Real time systems; Shape; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.17
  • Filename
    1575636