• DocumentCode
    629448
  • Title

    Ancient Tamil script and recognition and translation using LabVIEW

  • Author

    Mahalakshmi, M. ; Sharavanan, Malathi

  • fYear
    2013
  • fDate
    3-5 April 2013
  • Firstpage
    1021
  • Lastpage
    1026
  • Abstract
    A simple method for recognition and translation of ancient Tamil inscriptions is done and a detailed study of Ancient Tamil characters and current century characters are presented here the ancient Tamil stone inscriptions are to be recognized and translated using LabVIEW. The images of the ancient script are segmented using segmentation technique the segmentation are done using image segmentation techniques such as PSO, DPSO, FPSO which are the optimization techniques evolved in ancient script segmentation process. For image enhancement we employ contourlet transform where the images are enhanced and noise in the images are removed by fuzzy median filters. The proposed methodology has been simulated under Matlab and LabVIEW.
  • Keywords
    fuzzy set theory; history; image enhancement; image recognition; image segmentation; median filters; optimisation; transforms; virtual instrumentation; DPSO; FPSO; LabVIEW; PSO; ancient Tamil characters; ancient Tamil recognition; ancient Tamil script; ancient Tamil stone inscriptions; contourlet transform; fuzzy median filters; image enhancement; image segmentation technique; optimization techniques; Character recognition; Filter banks; Image edge detection; Image segmentation; MATLAB; Transforms; Contourlettransform; DPSO); Segmentation Algorithm (PSO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2013 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4673-4865-2
  • Type

    conf

  • DOI
    10.1109/iccsp.2013.6577211
  • Filename
    6577211