• DocumentCode
    2630839
  • Title

    Address block location using character recognition and address syntax

  • Author

    Lii, Jenchyou ; Palumbo, Paul W. ; Srihari, Sargur N.

  • Author_Institution
    Center of Excellence for Document Analysis & Recognition, State Univ. of New York, Buffalo, NY, USA
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    The authors shown many advantages of using postal syntactic features in address block location. Performing character recognition at low resolution (100 PPI) is desirable for a real-time system. An efficient word matching algorithm is designed to match words against a dictionary of about 500 keywords and assign a syntactic tag to each word in a text block. The critical information and the street syntax are extracted by parsing the syntactic tags. The usage of the postal syntactic features has been introduced in many aspects such as recovering lost information, selecting a more likely destination address block, and improving destination address block segmentation. With character recognition available in the system, the utilization of other syntax and context information on the mail pieces becomes feasible. The initial testing results of the incorporation of the syntactic processing in address block location were positive and encouraging
  • Keywords
    computational linguistics; grammars; image segmentation; optical character recognition; postal services; word processing; address block location; address syntax; character recognition; destination address block segmentation; dictionary; parsing; postal syntactic features; real-time system; street syntax; syntactic tag; text block; word matching algorithm; Character recognition; Data mining; Image analysis; Image processing; Image recognition; Image segmentation; Intelligent systems; Postal services; Text analysis; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    0-8186-4960-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1993.395721
  • Filename
    395721