A new normalization technique for cursive handwritten words

Vinciarelli, A. and Luettin, J. (2001) A new normalization technique for cursive handwritten words. Pattern Recognition Letters, 22(9), pp. 1043-1050. (doi:10.1016/S0167-8655(01)00042-3)

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Publisher's URL: http://dx.doi.org/10.1016/S0167-8655(01)00042-3

Abstract

This paper presents new techniques for slant and slope removal in cursive handwritten words. Both methods require neither heuristics nor parameter tuning. This avoids the heavy experimental effort required to find the optimal configuration of a parameter set. A comparison between the new deslanting technique and the method proposed by Bozinovic and Srihari was made by measuring the performance of both methods within a word recognition system tested on different databases. The proposed technique is shown to improve the recognition rate by 10.8% relative to traditional normalization methods. Moreover, a long exploration of the parameter space is avoided.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A., and Luettin, J.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Pattern Recognition Letters
Publisher:Elsevier BV
ISSN:0167-8655
ISSN (Online):1872-7344
Published Online:31 May 2001

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