Off-line hand written input based identity determination using multi kernel feature combination

Authors:
Ehtesham Hassan;Santanu Chaudhury;Nivedita Yadav;Prem Kalra;M. Gopal
Affiliations:
-;-;-;-;-
Venue:
Pattern Recognition Letters
Year:
2014

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Abstract

The paper presents a novel framework for the application of multiple features for handwritten data based identity recognition. Different types of features characterise different facets of the handwriting. We have designed a scheme for multiple feature based identity establishment using multi-kernel learning. A new formulation for multi-kernel learning using genetic algorithm has been presented. The efficacy of the framework using individual and combination of features is demonstrated for Devanagari script input.