Braille Transliteration Of Hindi Handwritten Texts Using Machine Learning For Character Recognition

Braille is a language of utmost importance for the upliftment of blind people. One of the problem with education of blind people is the unavailability of resources such as books etc. which are mostly in local languages being used by general people. Recently there have been lots of works done to automate the process of translating books in English, Arabic etc. into Braille as typing the whole book is very cumbersome. This paper is proposing an algorithm to convert any scanned handwritten document in Hındi to corresponding Braille. It uses Histogram of oriented gradients features of Hindi characters for matching in an SVM classifier. The scanned documents are first converted into a printable form and then transliterated to Braille using UTF-8 codes.

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