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Comparison with other existing studies:
As mentioned earlier that there are many
studies on recognition of handwritten digits in English and Oriental scripts. However,
there are only a few reports on Indic script. A recent study [17] makes use of fuzzy
model based recognition scheme and reports recognition accuracy of about 95% on a
dataset containing about 3500 handwritten samples for Devanagari digits. Study in
[18] used neural net as classifier and achieved an accuracy of 93.26% on the same
dataset used here for recognition of handwritten Bengali digits.
Fig. 4.
Recognition accuracies using k nearest neighbor approach with different k values
Fig. 5.
Class-wise recognition accuracies