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Force Field Energy Functionals for Image Feature Extraction

Force Field Energy Functionals for Image Feature Extraction
Force Field Energy Functionals for Image Feature Extraction
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we aim to extract a characteristic vector from a human ear image that may subsequently be used to identify or confirm the identity of the owner. Towards this end, a novel force field transformation and potential well extraction technique has been developed which leads to a compact characteristic vector offering immunity to initialization, rotation, scale, and noise. The image is transformed by considering the image to consist of an array of Gaussian attractors, which 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, which form the basis of the characteristic vector. We show how this is extracted for a selection of ears, and demonstrate its advantages. As such, we report a new technique in an exciting new biometric.
604-613
Hurley, D. J.
2a065670-4d18-4f0e-98bb-888b33130598
Nixon, M. S.
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Carter, J. N.
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Pridmore, T.
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Elliman, D.
d7ec4eef-64a9-4a74-b5f1-f3d65f1d3122
Hurley, D. J.
2a065670-4d18-4f0e-98bb-888b33130598
Nixon, M. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J. N.
e05be2f9-991d-4476-bb50-ae91606389da
Pridmore, T.
bbc9b9f5-2d6d-4213-9837-c7367eb0ce1e
Elliman, D.
d7ec4eef-64a9-4a74-b5f1-f3d65f1d3122

Hurley, D. J., Nixon, M. S. and Carter, J. N. (1999) Force Field Energy Functionals for Image Feature Extraction. Pridmore, T. and Elliman, D. (eds.) In Proceedings of the British Machine Vision Conference 1999, BMVC99. pp. 604-613 .

Record type: Conference or Workshop Item (Paper)

Abstract

Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we aim to extract a characteristic vector from a human ear image that may subsequently be used to identify or confirm the identity of the owner. Towards this end, a novel force field transformation and potential well extraction technique has been developed which leads to a compact characteristic vector offering immunity to initialization, rotation, scale, and noise. The image is transformed by considering the image to consist of an array of Gaussian attractors, which 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, which form the basis of the characteristic vector. We show how this is extracted for a selection of ears, and demonstrate its advantages. As such, we report a new technique in an exciting new biometric.

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Published date: September 1999
Venue - Dates: British Machine Vision Conference 1999, BMVC99, 1999-08-31
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251950
URI: http://eprints.soton.ac.uk/id/eprint/251950
PURE UUID: 34f14562-8993-4af1-a928-c2711d493022
ORCID for M. S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 18 Nov 1999
Last modified: 30 Jan 2020 01:24

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Contributors

Author: D. J. Hurley
Author: M. S. Nixon ORCID iD
Author: J. N. Carter
Editor: T. Pridmore
Editor: D. Elliman

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