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)

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. (Contact us about this Publication)

Item Type:	Conference or workshop item (Paper)
Subjects:	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:	29 Jun 2011 14:02 UTC
Last Modified:	01 Aug 2019 10:30 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7594 (The current URI for this page, for reference purposes)
Hoque, Sanaul:	https://orcid.org/0000-0001-8627-3429

Depositors only (login required):