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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)

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)
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 (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.P3 Pattern Recognition
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Konstantinos Sirlantzis
Date Deposited: 29 Jun 2011 13:33 UTC
Last Modified: 28 May 2019 13:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7059 (The current URI for this page, for reference purposes)
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