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A novel multiple-expert approach to the recognition of handwritten words extracted from British cheques

Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael and Hoque, Sanaul and Paschalakis, Stavros (1999) A novel multiple-expert approach to the recognition of handwritten words extracted from British cheques. In: Seventh International Conference on Image Processing And Its Applications, 1999. IEEE, pp. 731-735. ISBN 0-85296-717-9. (doi:10.1049/cp:19990420) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:16508)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1049/cp:19990420

Abstract

A novel multiple expert approach to the recognition of handwritten words extracted from British cheques has been presented. It has been demonstrated that this multiple expert technique has enhanced recognition accuracy than that of the component classifiers. In addition, it has also been demonstrated that this multiple expert approach has higher throughput than that of the individual experts working on their own.

Item Type: Book section
DOI/Identification number: 10.1049/cp:19990420
Additional information: Issue: 465; Proceedings Paper
Uncontrolled keywords: multiple-expert approach; handwritten word recognition; British cheques; recognition accuracy; component classifiers; throughput; performance
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > Q Science (General) > Q335 Artificial intelligence
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: F.D. Zabet
Date Deposited: 17 Apr 2009 19:13 UTC
Last Modified: 16 Nov 2021 09:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/16508 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

Hoque, Sanaul.

Creator's ORCID: https://orcid.org/0000-0001-8627-3429
CReDIT Contributor Roles:
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