Moving window classifier: approach to off-line image recognition

Fairhurst, Michael, Hoque, Sanaul (2000) Moving window classifier: approach to off-line image recognition. Electronics Letters, 36 (7). pp. 628-630. ISSN 0013-5194. (doi:10.1049/el:20000494) (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:16082)

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/10.1049/el:20000494

Abstract

A new classification scheme particularly suited Far text processing is presented. Features are extracted from a partial image projected onto a window and a part-classifier computes scores based on its likelihood of belonging to the candidate classes. This is carried out for overlapping part-images and scores are combined for a final classification. Comparisons with other classifier schemes show improved performance characteristics for appropriate task domains.

Item Type:	Article
DOI/Identification number:	10.1049/el:20000494
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	O.O. Odanye
Date Deposited:	18 May 2009 23:55 UTC
Last Modified:	05 Nov 2024 09:50 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/16082 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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CReDIT Contributor Roles:

Hoque, Sanaul.

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