  In this paper a novel approach is proposed based on single Euler number
feature which is free from thinning and size normalization for multi-font and
multi-size Kannada numeral recognition system. A nearest neighbor
classification is used for classification of Kannada numerals by considering
the Euclidian distance. A total 1500 numeral images with different font sizes
between (10..84) are tested for algorithm efficiency and the overall the
classification accuracy is found to be 99.00% .The said method is thinning
free, fast, and showed encouraging results on varying font styles and sizes of
Kannada numerals.
