• DocumentCode
    1109606
  • Title

    A Character Recognition Application of an Iterative Procedure for Feature Selection

  • Author

    Ahlgren, R.C. ; Ryan, H.F. ; Swonger, C.W.

  • Author_Institution
    IEEE
  • Issue
    9
  • fYear
    1971
  • Firstpage
    1067
  • Lastpage
    1075
  • Abstract
    A simple yet powerful technique for selecting features to be used in a pattern recognition system has been devised and applied to an eight-class character recognition problem using a set of 19 000 typed character samples as a data base. High-order joint probabilities have been directly estimated from the data base, thus making it possible to take into account in the feature selection process the existence of statistical dependencies among features to a greater extent than has been done in previously reported work.
  • Keywords
    Bayes´ error, character recognition, feature selection, information content, pattern recognition.; Application software; Bayesian methods; Character recognition; Feature extraction; Linear discriminant analysis; Pattern recognition; Performance analysis; Probability; Process design; Search methods; Bayes´ error, character recognition, feature selection, information content, pattern recognition.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1971.223405
  • Filename
    1671998
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1109606