Unconstrained Handwritten Kannada Numeral Recognition
Keywords:
Feature Extraction Method (FEM), Dataset Size (DS) and Classification Method (CM)Abstract
Handwritten Character Recognition (HCR) is
very important in academic and production fields. The
recognition system can be either online or offline. There is a
large scope for optical character recognition on hand written
documents. India is a multilingual and multi script country,
where eighteen official scripts are accepted and have over
hundred regional languages. Recognition of unconstrained
hand written Indian scripts is difficult because of the presence
of numerals, vowels, consonants, vowel modifiers and
compound characters. In this paper we have implemented to
recognize the unconstrained handwritten Kannada numeral
characters and have proposed the projection distance metrics
method for numeral recognition and General Regression
Neural Network (GRNN) for the classification of the character
image.
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