Sample Selection for Optimising Signature Enrolment

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.
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00103781
Contributeur : Anne Jaigu <>
Soumis le : jeudi 5 octobre 2006 - 11:59:16
Dernière modification le : jeudi 5 octobre 2006 - 14:26:43
Document(s) archivé(s) le : mardi 6 avril 2010 - 18:23:59

Identifiants

  • HAL Id : inria-00103781, version 1

Collections

Citation

Richard Guest, Mike Fairhurst. Sample Selection for Optimising Signature Enrolment. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00103781〉

Partager

Métriques

Consultations de la notice

142

Téléchargements de fichiers

110