DATABASES FOR RECOGNITION OF HANDWRITTEN ARABIC CHEQUES

Yousef AL­OHALI1, Mohamed CHERIET1,2 and Ching Y. SUEN1

1CENPARMI, ConcordiaUniversity GM­606, 1455 de Maisonneuve W., Montreal, Quebec H3G 1M8, Canada
2Imagery, Vision and Artificial Intelligence Laboratory, École de Technologie Supérieure, University of Québec, 1100, Notre­Dame West, Montréal, Québec H3C 1K3, Canada
E­mail: {yousef, suen@cenparmi.concordia.ca}, cheriet@gpa.etsmtl.ca

This paper describes an effort toward building Arabic cheque databases for research in recognition of handwritten Arabic cheques. Databases of Arabic legal amounts, Arabic sub­ words, courtesy amounts, Indian digits, and Arabic cheques are provided. This paper highlights the characteristics of the Arabic language and presents the various steps that have been completed to achieve this goal including segmentation, binarization, tagging and validation.

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. 601-606.