• DocumentCode
    2490705
  • Title

    An Efficient Fuzzy Method for Bangla Handwritten Numerals Recognition

  • Author

    Hoque, Mohammed Moshiul ; Islam, Md Mainul ; Ali, Muhammad Masroor

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chittagong Univ. of Eng. & Technol.
  • fYear
    2006
  • fDate
    19-21 Dec. 2006
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    The object of the handwritten character recognition is the recognition of data that describe handwritten objects. On-line handwritten recognition deals with a time ordered sequence of data. This paper presents an on-line handwritten recognition system for recognizing the Bangla numerals using the fuzzy rule-base. Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. The selection of the representative features, which describe the shapes and location of segments, is the core of the proposed approach. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.
  • Keywords
    feature extraction; fuzzy logic; fuzzy systems; handwritten character recognition; knowledge based systems; natural language processing; Bangla handwritten numeral recognition; fuzzy logic; fuzzy method; fuzzy rule; online handwritten recognition; time ordered data sequence; Character generation; Character recognition; Computer science; Fuzzy logic; Fuzzy systems; Handheld computers; Handwriting recognition; Shape; Spatial databases; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2006. ICECE '06. International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    98432-3814-1
  • Type

    conf

  • DOI
    10.1109/ICECE.2006.355324
  • Filename
    4178442