An Efficient Fuzzy Method for Handwritten Character Recognition

Romesh Ranawana; Vasile Palade; G. E M D C Bandara

doi:10.1007/978-3-540-30133-2_92

An Efficient Fuzzy Method for Handwritten Character Recognition

Romesh Ranawana
, Vasile Palade
, G. E M D C Bandara

University of Oxford
University of Peradeniya

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

15 Citations (Scopus)

Abstract

The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Editors	Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
Place of Publication	Berlin
Publisher	Springer Verlag
Pages	698-707
Number of pages	10
Volume	3214
ISBN (Electronic)	978-3-540-30133-2
ISBN (Print)	978-3-540-23206-3
DOIs	https://doi.org/10.1007/978-3-540-30133-2_92
Publication status	Published - 2004
Externally published	Yes
Event	8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems - Wellington, New Zealand Duration: 20 Sept 2004 → 25 Sept 2004

Conference

Conference	8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Abbreviated title	KES 2004
Country/Territory	New Zealand
City	Wellington
Period	20/09/04 → 25/09/04

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-30133-2_92

Cite this

An Efficient Fuzzy Method for Handwritten Character Recognition. / Ranawana, Romesh; Palade, Vasile; Bandara, G. E M D C.
Knowledge-Based Intelligent Information and Engineering Systems. ed. / Mircea Gh. Negoita; Robert J. Howlett; Lakhmi C. Jain. Vol. 3214 Berlin: Springer Verlag, 2004. p. 698-707.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Ranawana, R, Palade, V & Bandara, GEMDC 2004, An Efficient Fuzzy Method for Handwritten Character Recognition. in MG Negoita, RJ Howlett & LC Jain (eds), Knowledge-Based Intelligent Information and Engineering Systems. vol. 3214, Springer Verlag, Berlin, pp. 698-707, 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems , Wellington, New Zealand, 20/09/04. https://doi.org/10.1007/978-3-540-30133-2_92

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booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",

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AU - Palade, Vasile

AU - Bandara, G. E M D C

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N2 - The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.

AB - The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.

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A2 - Howlett, Robert J.

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ER -

An Efficient Fuzzy Method for Handwritten Character Recognition

Abstract

Conference

ASJC Scopus subject areas

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