A NEW APPROACH TO SEGMENT HANDWRITTEN DIGITS

L. S. Oliveira1, E. Lethelier1, F. Bortolozzi1, and R. Sabourin2

1Pontifícia Universidade Católica do Paraná - LARDOC Rua Imaculada Conceiçao 1155, 80215-901 - Curitiba, PR - BRAZIL
E-mail: {soares,edouard,fborto}@ppgia.pucpr.br

2Ecole de Technologie Superieure 1100, rue Notre Dame Ouest, Montreal (Quebec) H3C 1K3, CANADA E-mail: sabourin@gpa.etsmtl.ca

This article presents a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of structural features in order to provide the best segmentation path between connected entities. In this article, we first present the features used to generate our basic segmentation points. Then, we define our segmentation paths depending on the encountered configurations with only few heuristic rules. Finally, we evaluate the output of our segmentation by using a combination of classi ers.

In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 577-582.