• DocumentCode
    2085751
  • Title

    Handwritten Bangla digit recognition using hierarchical Bayesian network

  • Author

    Xu, Jin-wen ; Xu, Jinhua ; Lu, Yue

  • Author_Institution
    Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    1096
  • Lastpage
    1099
  • Abstract
    A hierarchical Bayesian network is used for handwritten Bangla digit recognition. Rather than extracted feature vectors, original digit images are used as the network input directly. The network is trained on handwritten samples. And then it¿s tested on untrained images and hand-drawn digits. An average recognition accuracy of 87.5 is achieved. The system exhibits robust invariant recognition with respect to considerable object noise which is quite common in handwritten digits.
  • Keywords
    Bayes methods; handwritten character recognition; image recognition; handwritten Bangla digit recognition; hierarchical Bayesian network; Bayesian methods; Clustering algorithms; Feature extraction; Handwriting recognition; Inference algorithms; Intelligent systems; Knowledge engineering; Noise robustness; Pattern recognition; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4731093
  • Filename
    4731093
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2085751