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Off-line hand written input based identity determination using multi kernel feature combination
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DOI：10.1016/j.patrec.2013.04.032.png)
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Abstract
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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. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Multiple kernel learning
Writer identification
Writer verification
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