Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition

Sirlantzis, Konstantinos, Hoque, Sanaul, Fairhurst, Michael, Rahman, Ahmad Fuad Rezaur (2002) Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition. In: Caelli, Terry and Duin, Robert P. W. and Kamel, Mohamed and Ridder, Dick and Amin, Adnan, eds. Lecture Notes in Computer Science - Proceedings of the Joint IAPR Int. Workshop on Syntactical and Structural Pattern Recognition (SSPR 2002) and Statistical Pattern Recognition (SPR 2002), Win. . pp. 770-778. (doi:10.1007/3-540-70659-3_81) (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:7294)

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: http://dx.doi.org/10.1007/3-540-70659-3_81

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1007/3-540-70659-3_81
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 13:45 UTC
Last Modified:	16 Nov 2021 09:45 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7294 (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:

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.