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On Soft Biometrics

On Soft Biometrics
On Soft Biometrics
Innovation has formed much of the rich history in biometrics. The field of soft biometrics was originally aimed to augment the recognition process by fusion of metrics that were sufficient to discriminate populations rather than individuals. This was later refined to use measures that could be used to discriminate individuals, especially using descriptions that can be perceived using human vision and in surveillance imagery. A further branch of this new field concerns approaches to estimate soft biometrics, either using conventional biometrics approaches or just from images alone. These three strands combine to form what is now known as soft biometrics. We survey the achievements that have been made in recognition by and in estimation of these parameters, describing how these approaches can be used and where they might lead to. The approaches lead to a new type of recognition, and one similar to Bertillonage which is one of the earliest approaches to human identification.
218-230
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Correia, Paulo
9f356279-97b3-414f-8588-050c97a3cee9
Nasrollahi, Kamal
d306b5b5-8968-45dc-af64-f7c72e4b43b1
Moeslund, Thomas
52147a4e-077e-4210-9bb1-3b21b3576aeb
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d
Tistarelli, Massimo
82800107-0ac6-4221-a972-6999ecc36152
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Correia, Paulo
9f356279-97b3-414f-8588-050c97a3cee9
Nasrollahi, Kamal
d306b5b5-8968-45dc-af64-f7c72e4b43b1
Moeslund, Thomas
52147a4e-077e-4210-9bb1-3b21b3576aeb
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d
Tistarelli, Massimo
82800107-0ac6-4221-a972-6999ecc36152

Nixon, Mark S., Correia, Paulo, Nasrollahi, Kamal, Moeslund, Thomas, Hadid, Abdenour and Tistarelli, Massimo (2015) On Soft Biometrics. Pattern Recognition Letters, 68 (2), 218-230. (doi:10.1016/j.patrec.2015.08.006).

Record type: Article

Abstract

Innovation has formed much of the rich history in biometrics. The field of soft biometrics was originally aimed to augment the recognition process by fusion of metrics that were sufficient to discriminate populations rather than individuals. This was later refined to use measures that could be used to discriminate individuals, especially using descriptions that can be perceived using human vision and in surveillance imagery. A further branch of this new field concerns approaches to estimate soft biometrics, either using conventional biometrics approaches or just from images alone. These three strands combine to form what is now known as soft biometrics. We survey the achievements that have been made in recognition by and in estimation of these parameters, describing how these approaches can be used and where they might lead to. The approaches lead to a new type of recognition, and one similar to Bertillonage which is one of the earliest approaches to human identification.

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Accepted/In Press date: 13 August 2015
e-pub ahead of print date: 8 September 2015
Published date: 15 December 2015
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 380496
URI: http://eprints.soton.ac.uk/id/eprint/380496
PURE UUID: b45b791d-7d5c-4bd1-8ba0-b69b45d1b48f
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 14 Aug 2015 16:12
Last modified: 01 Oct 2019 05:42

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