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2018 | OriginalPaper | Chapter

Stability of Features Describing the Dynamic Signature Biometric Attribute

Authors : Marcin Zalasiński, Krzysztof Cpałka, Konrad Grzanek

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

Behavioral biometric attributes tend to change over time. Due to this, analysis of their changes is an important issue in the context of identity verification. In this paper, we present an evaluation of stability of features describing the dynamic signature biometric attribute. The dynamic signature is represented by nonlinear waveforms describing dynamics of the signing process. Our analysis takes into account a set of features extracted using a partitioning of the signature in comparison to so-called global features of the signature. It shows which features change more and how it is associated with identification efficiency. Our simulations were performed using ATVS-SLT DB dynamic signature database.

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Title: Stability of Features Describing the Dynamic Signature Biometric Attribute
Authors: Marcin Zalasiński
Krzysztof Cpałka
Konrad Grzanek
Publisher: Springer International Publishing
Book: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-91261-5

Electronic ISBN: 978-3-319-91262-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91262-2_23

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