Sample selection for optimising signature enrolment
Sample selection for optimising signature enrolment
Accurate and representative template construction is critical for the successful and robust operation of dynamic signature verification systems. This paper presents a comparison of enrolment sample selection strategies using a large database of donated signature samples. Enrolment strategies evaluated include several that are based on sample variance within standard signature performance features, together with a series of established reference methods used for purposes of ?baseline? comparison. Sample selection enrolment strategies are tested on two representative commercial signature verification systems by assessing the rate of successful enrolment and verification. The results show that using a prediction method based on the measurement of variance within samples for selection increases the ability to successfully enrol. The investigation is thus important in helping to develop possible best practice for implementing effective enrolment procedures.
487-492
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Mike
6a82d154-93fe-4657-bcee-934d5c888192
5 October 2006
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Mike
6a82d154-93fe-4657-bcee-934d5c888192
Guest, Richard and Fairhurst, Mike
(2006)
Sample selection for optimising signature enrolment.
In Tenth International Workshop on Frontiers in Handwriting Recognition.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Accurate and representative template construction is critical for the successful and robust operation of dynamic signature verification systems. This paper presents a comparison of enrolment sample selection strategies using a large database of donated signature samples. Enrolment strategies evaluated include several that are based on sample variance within standard signature performance features, together with a series of established reference methods used for purposes of ?baseline? comparison. Sample selection enrolment strategies are tested on two representative commercial signature verification systems by assessing the rate of successful enrolment and verification. The results show that using a prediction method based on the measurement of variance within samples for selection increases the ability to successfully enrol. The investigation is thus important in helping to develop possible best practice for implementing effective enrolment procedures.
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Published date: 5 October 2006
Venue - Dates:
Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes, La Baule, France, 2006-10-23 - 2006-10-26
Identifiers
Local EPrints ID: 489635
URI: http://eprints.soton.ac.uk/id/eprint/489635
PURE UUID: 878207ca-2fdd-475e-b487-edd860318b19
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Date deposited: 30 Apr 2024 16:37
Last modified: 01 May 2024 02:10
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Contributors
Author:
Richard Guest
Author:
Mike Fairhurst
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