Face recognition using the Moving Window Classifier

Hoque, M.S., Fairhurst, Michael (2000) Face recognition using the Moving Window Classifier. In: Proceedings of the British Machine Conference. . 32.1-32.10. BMVA Press ISBN 1-901725-13-8. (doi:10.5244/C.14.32) (KAR id:64738)

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Official URL: http://dx.doi.org/10.5244/C.14.32

Abstract

The Moving Window Classifier (MWC) has previously been proposed as an efficient scheme for text recognition applications. In this paper, the potential of the MWC algorithm in face recognition is investigated. To maintain the memory requirements of the classifier within acceptable practical limits, the concept of bit-plane encoding is utilized. The experimental results reported show very encouraging performance for both the schemes.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.5244/C.14.32
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Sanaul Hoque
Date Deposited:	26 Nov 2020 16:06 UTC
Last Modified:	16 Nov 2021 10:24 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/64738 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hoque, M.S..

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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