On-line handwriting recognition with parallelized machine learning algorithms

Abstract

The availability of mobile devices without a keypad like Apple's iPad and iPhone grows continuously and the demand for sophisticated input methods with them. In this paper we present classifiers for on-line handwriting recognition based on SVM and kNN algorithms and provide a comparison of the different classifiers using the freely available handwriting corpus UjiPenchars2. We further investigate how their performance can be improved by parallelization and how these improvements can be utilized on a mobile device. © 2010 Springer-Verlag Berlin Heidelberg.