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Is enough enough? What is sufficiency in biometric data?

Is enough enough? What is sufficiency in biometric data?
Is enough enough? What is sufficiency in biometric data?
Gait recognition has become a popular new biometric in the last decade. Good recognition results have been achieved using different gait techniques on several databases. However, not much attention has been paid to get major questions: how good are biometrics data; how many subjects are needed to cover diversity of population (hypothetical or actual) in gait and how many samples per subject will give good representation of similarities and differences in the gait of the same subject. In this paper we try to answer these questions from the point of view of statistical analysis not only for gait recognition but for other biometrics as well. Though we do not think that we have a whole answer, we content this is the start of the answer.
sample size, number of samples per subject, gait recognition, database design
Veres, G.V.
3c2a37d2-3904-43ce-b0cf-006f62b87337
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J.C.
e05be2f9-991d-4476-bb50-ae91606389da
Veres, G.V.
3c2a37d2-3904-43ce-b0cf-006f62b87337
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J.C.
e05be2f9-991d-4476-bb50-ae91606389da

Veres, G.V., Nixon, M.S. and Carter, J.C. (2006) Is enough enough? What is sufficiency in biometric data? International Conference on Image Analysis and Recognition, Portugal. 18 - 20 Sep 2006.

Record type: Conference or Workshop Item (Other)

Abstract

Gait recognition has become a popular new biometric in the last decade. Good recognition results have been achieved using different gait techniques on several databases. However, not much attention has been paid to get major questions: how good are biometrics data; how many subjects are needed to cover diversity of population (hypothetical or actual) in gait and how many samples per subject will give good representation of similarities and differences in the gait of the same subject. In this paper we try to answer these questions from the point of view of statistical analysis not only for gait recognition but for other biometrics as well. Though we do not think that we have a whole answer, we content this is the start of the answer.

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More information

Published date: 2006
Additional Information: Event Dates: 18-20 September 2006
Venue - Dates: International Conference on Image Analysis and Recognition, Portugal, 2006-09-18 - 2006-09-20
Keywords: sample size, number of samples per subject, gait recognition, database design
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 262832
URI: http://eprints.soton.ac.uk/id/eprint/262832
PURE UUID: 7d81835d-c08f-4c07-9c46-c08d237ff5ad
ORCID for M.S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 11 Jul 2006
Last modified: 15 Mar 2024 02:35

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Contributors

Author: G.V. Veres
Author: M.S. Nixon ORCID iD
Author: J.C. Carter

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