Genetic Algorithms for Handwriting Recognition: From Structure Optimisation to Information Measures

Sirlantzis, Konstantinos, Hoque, Sanaul, Fairhurst, Michael (2003) Genetic Algorithms for Handwriting Recognition: From Structure Optimisation to Information Measures. In: British Machine Vision Association (BMVA) Symposium on Document and Text Recognition in Images and Video Sequences, 2003 June, Royal Statistical Society, London. (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:7594)

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.

Item Type:	Conference or workshop item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Konstantinos Sirlantzis
Date Deposited:	29 Jun 2011 14:02 UTC
Last Modified:	16 Nov 2021 09:45 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7594 (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:

Hoque, Sanaul.

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

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

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