• DocumentCode
    627277
  • Title

    Computer vision vs human perception: Novel preprocessing technique to reduce inter-character similaity of Bangla alphabet

  • Author

    Chowdhury, T.M. ; Naser, M.A. ; Ahmed, Foisal

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Islamic Univ. of Technol. (IUT), Gazipur, Bangladesh
  • fYear
    2013
  • fDate
    17-18 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In Bangla alphabet, most of the characters share same features and such similarity misleads a recognizer as it makes decision based on measures of absolute difference. A preprocessing step called `scrambling´ and modification of existing grouping scheme are proposed to decrease the intercharacter similarity among Bangla characters. The theory behind this proposal is originally inspired by experiments done on human vision and perception by psychologists and vision scientists. Experimental results corroborate theoretical predictions which lead us to propose scrambling and new grouping technique as effective steps in character recognition.
  • Keywords
    character recognition; computer vision; vision; Bangla alphabet intercharacter similarity reduction; absolute difference measure; character recognition; computer vision; grouping scheme modification; grouping technique; human perception; human vision; preprocessing technique; scrambling step; Accuracy; Character recognition; Computer vision; Computers; Feature extraction; Shape; Support vector machines; Bangla character recognition; computer vision; feature extraction; human perception; preprocessing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-0397-9
  • Type

    conf

  • DOI
    10.1109/ICIEV.2013.6572630
  • Filename
    6572630