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In biometrics, signature is one of the largest and oldest part used for endorsement. In this paper, approach based on Independent Component Analysis (ICA) and neural networks is proposed to study on Kannada Signatures. Experiment on 5000 samples of Kannada signature has been considered and the result is found to be accurate and promising.

Ica and neural networks for kannada signature identification