Contextual focus for improved recognition of hand-filled forms

Wong, WS, Sherkat, N ORCID: https://orcid.org/0000-0003-1488-5682 and Allen, T ORCID: https://orcid.org/0000-0001-6228-0237, 2001. Contextual focus for improved recognition of hand-filled forms. In: Proceedings of the Sixth International Conference on Document Analysis and Recognition. Los Aalmitos, CA, USA: IEEE Computer Society, pp. 748-752. ISBN 0769512631

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Abstract

The advances in Optical Character Recognition (OCR) technology over the past decade have enabled the development of many automatic document-processing systems capable of 99% correct recognition on printed text. However, similar advances in Cursive Script Recognition (CSR) technology have not been forthcoming due, principally, to the vast variability of human handwriting. This paper investigates a method by which the more reliable OCR technology can be used to improve the CSR performance in a form processing application. A novel method is proposed to link handwriting data to contextual cue words that have been automatically obtained from an OCR process. This information is then used to select appropriate 'focused' lexicons to achieve better CSR results. The method was tested on 30 forms that were filled by 10 different writers. The experimental results together with a comparison to the base line recognition performance are presented

Item Type:	Chapter in book
Creators:	Wong, W.S., Sherkat, N. and Allen, T.
Publisher:	IEEE Computer Society
Place of Publication:	Los Aalmitos, CA, USA
Date:	2001
ISBN:	0769512631
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:23
Last Modified:	24 Nov 2021 11:47
URI:	https://irep.ntu.ac.uk/id/eprint/12173

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