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. © 2013 Elsevier B.V. All rights reserved.

Santanu Chaudhury

Department of Computer Science & Engineering

IIT Jodhpur

E. Hassan

N. Yadav

P. Kalra

M. Gopal

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

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Journal	Pattern Recognition Letters
ISSN	01678655