Abstract
Communication gap establishes an aura of unwillingness of understanding the factor behind. Basically, this is one of the common agenda for the visually challenged people. In order to bridge this gap, a proper platform of learning for both the mass and the visually challenged for any native language is emphasized in this paper through Braille pattern. Braille, a code, well known to visually challenged as their mode of communication is now converted into normal text in Odia, Hindi, Telugu and English languages using Image segmentation as the base criteria with MATLAB as its simulation field so that every person can be able to easily decode the information being conveyed by these people. The algorithm makes the best use of segmentation, histogram analysis, pattern recognition, letter arrays, data base generation with testing in software and dumping in using Spartan 3e FPGA kit. This paper also elaborates on the reverse conversion of native languages and English to Braille making the paper to be more compatible. The processing speed with efficiency and accuracy defines the effective features of this paper as a successful approach in both software and hardware.
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