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

doi:10.1016/j.patrec.2013.04.032

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

2014-01-01

8

PRE

AI

DOI：10.1016/j.patrec.2013.04.032

Original

Original request for help

Save

Abstract

En 中文

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

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

Abstract

Journal

Organization