• DocumentCode
    278156
  • Title

    High performance character recognition for off-line handwritten British postcodes

  • Author

    Tregidgo, R.W.S. ; Downton, A.C.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1991
  • fDate
    33305
  • Firstpage
    42522
  • Lastpage
    42526
  • Abstract
    Provides details of a dictionary search scheme which efficiently improves the overall postcode recognition rate. The research described has shown that it is possible to extract high word recognition rates from an unoptimised character recognition algorithm, by using contextual knowledge. A basic character recognition rate of 63.1% was achieved for the full alphanumeric character set, as written in a database of British postcodes. The addition of a syntactic recognition stage, based upon analysis of allowable British postcode formats, improved the character recognition rate to 73.2%. The effect of syntax was mainly to reduce the confusion between numerals and alphabetic characters. A trie-structured dictionary was used to add contextual knowledge to the postcode recognition process
  • Keywords
    character recognition; computerised pattern recognition; alphanumeric character set; character recognition; character recognition algorithm; character recognition rate; contextual knowledge; database; dictionary search scheme; off-line handwritten British postcodes; postcode recognition rate; syntactic recognition; trie-structured dictionary; word recognition rates;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Binary Image Processing - Techniques and Applications, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    181290