Title :
Ancient Tamil script and recognition and translation using LabVIEW
Author :
Mahalakshmi, M. ; Sharavanan, Malathi
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;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
DOI :
10.1109/iccsp.2013.6577211