Handwritten Optical Character Recognition (HOCR) is one of the
research fields where the lots of the researchers are working very
hard to solve the problems. A little effort is made here in respect
to solve the problem in recognition of Handwritten Devnagari
Characters, which is very challenging task because of the different
writers have their own style to write and there is a lot of
variation is occurred in their writing. In order to obtain higher
recognition rate, a large database of all possible or maximum
variations have been taken from a large group of writers. Because
by including these variations we can make our recognition more
general to test samples of writers from different background and
recognition rate will be observed efficient and it will be
acceptable in large domain of users.
General
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