The existing system supports around 150 popular Gurmukhi font encodings and more than 100 popular Devanagari fonts. Though we could not train our systems for some fonts due to non-availability of font converters but system and its architecture is open to accept any number of languages/fonts in the future. ![]() Therefore, the proposed system works in two stages: the first stage suggests a statistical model for automatic language-detection (i.e., Gurmukhi or Devanagari) and font-detection the second stage converts the detected text into Unicode as per font detection. It also explains a font conversion system for converting the ASCII based text into Unicode. This paper describes a language and font-detection system for Gurmukhi and Devanagari. To read the text written in a particular font, that font is required to be installed on that system. Gurmukhi alone has more than 225 popular ASCII-based fonts whereas this figure is 180 in case of Devanagari. ![]() This is because, there are a number of font formats available for typing, and these font-formats are not mutually compatible. The digital text written in an Indian script is difficult to use as such.
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