Investigation of a Novel Self-Configurable Multiple Classifier System for Character Recognition

Sirlantzis, Konstantinos, Fairhurst, Michael (2001) Investigation of a Novel Self-Configurable Multiple Classifier System for Character Recognition. In: Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 201), Seatle, USA, IAPR. . pp. 1002-1006. (doi:10.1109/ICDAR.2001.953936) (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:7059)

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: https://doi.org/10.1109/ICDAR.2001.953936

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1109/ICDAR.2001.953936
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Konstantinos Sirlantzis
Date Deposited:	29 Jun 2011 13:33 UTC
Last Modified:	16 Nov 2021 09:45 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7059 (The current URI for this page, for reference purposes)

University of Kent Author Information

Sirlantzis, Konstantinos.

Creator's ORCID:	https://orcid.org/0000-0002-0847-8880
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

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