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A new force field transform for ear and face recognition

A new force field transform for ear and face recognition
A new force field transform for ear and face recognition
The objective in defining feature space is to reduce the dimension of the original pattern space yet maintaining discriminatory power for classification. To meet this objective in the context of ear and face biometrics a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force field. The directional properties of the force field are exploited to automatically locate a small number of potential energy wells and channels that form the basis of a characteristic feature vector. Here, we generalise the analysis, and the stock of applications.
1522-4880
00CH37101
25-28
IEEE
Hurley, David J.
48c2987f-9096-4f86-93f2-148cb4daaaf2
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Hurley, David J.
48c2987f-9096-4f86-93f2-148cb4daaaf2
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da

Hurley, David J., Nixon, Mark S. and Carter, John N. (2000) A new force field transform for ear and face recognition. In Proceedings 2000 International Conference on Image Processing. IEEE. pp. 25-28 . (doi:10.1109/ICIP.2000.900883).

Record type: Conference or Workshop Item (Paper)

Abstract

The objective in defining feature space is to reduce the dimension of the original pattern space yet maintaining discriminatory power for classification. To meet this objective in the context of ear and face biometrics a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force field. The directional properties of the force field are exploited to automatically locate a small number of potential energy wells and channels that form the basis of a characteristic feature vector. Here, we generalise the analysis, and the stock of applications.

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More information

Published date: September 2000
Additional Information: Organisation: IEEE
Venue - Dates: IEEE 2000 International Conference on Image Processing ICIP2000, Vancouver, Canada, 2000-09-10 - 2000-09-13
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 253961
URI: http://eprints.soton.ac.uk/id/eprint/253961
ISSN: 1522-4880
PURE UUID: d1a96b75-1337-4a3d-9894-19d30fa4866c
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 04 Jun 2001
Last modified: 20 Jul 2019 01:28

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