• DocumentCode
    282175
  • Title

    Verification techniques for high-performance OCR of hand-printed postcodes

  • Author

    Downbton, A.C. ; Kabir, E.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1989
  • fDate
    32783
  • Firstpage
    42552
  • Lastpage
    42560
  • Abstract
    To minimise error-rate in the recognition of handwritten addresses, redundancy between the postcode and the remainder of the address must be exploited. The paper investigates methods by which postcodes can be verified using features extracted from the remainder of the address. Features which define the town name effectively, and can easily be extracted from a handwritten or hand-printed town name are proposed. Experiments to determine the performance obtainable in extracting these features using a database of 820 constrained address images are reported. An overall verification rate of at least 47% for handprinted addresses and 38% for handwritten addresses is predicted, based upon cascading the feature extraction processes described
  • Keywords
    optical character recognition; postal services; error-rate; feature extraction; hand-printed postcodes; handwritten addresses; high-performance OCR; optical character recognition; postal services; redundancy; verification techniques;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Character Recognition and Applications, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    198766