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Trainable Multiple Classifier Schemes for Handwritten Character Recognition

Sirlantzis, Konstantinos and Hoque, Sanaul and Fairhurst, Michael (2002) Trainable Multiple Classifier Schemes for Handwritten Character Recognition. In: Kittler, Josef and Roli, Fabio, eds. Multiple Classifier Systems Third International Workshop. Springer, Berlin, Germany, pp. 169-178. ISBN 978-3-540-43818-2. E-ISBN 978-3-540-45428-1. (doi:10.1007/3-540-45428-4_17) (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)

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Official URL
http://dx.doi.org/10.1007/3-540-45428-4_17

Abstract

In this paper we propose two novel multiple classifier fusion schemes which, although different in terms of architecture, share the idea of dynamically extracting additional statistical information about the individually trained participant classifiers by reinterpreting their outputs on a validation set. This is achieved through training on the resulting intermediate feature spaces of another classifier, be it a combiner or an intermediate stage classification device. We subsequently implemented our proposals as multi-classifier systems for handwritten character recognition and compare the performance obtained through a series of cross-validation experiments of increasing difficulty. Our findings strongly suggest that both schemes can successfully overcome the limitations imposed on fixed combination strategies from the requirement of comparable performance levels among their participant classifiers. In addition, the results presented demonstrate the significant gains achieved by our proposals in comparison with both individual classifiers experimentally optimized for the task in hand, and a multi-classifier system design process which incorporates artificial intelligence techniques.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-45428-4_17
Uncontrolled keywords: Character Recognition; Document Image; Chain Code; Handwritten Character; Fisher Linear Discriminant
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.P3 Pattern Recognition
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Konstantinos Sirlantzis
Date Deposited: 18 Sep 2008 16:08 UTC
Last Modified: 05 Sep 2019 11:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7432 (The current URI for this page, for reference purposes)
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
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