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Erschienen in:
Improving Automatic Classifiers Through Interaction Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features

verfasst von : Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

Identity verification using the dynamic signature is an important biometric issue. Its big advantage is that it is commonly socially acceptable. Verification based on so-called global features is one of the most effective methods used for this purpose. In this paper we propose an approach which minimises a number of the features used during verification process due to check how the number of features affects the classification result. The paper contains the simulation results for the public MCYT-100 database of the dynamic signatures.

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Vorheriges Kapitel Self Organizing Maps for 3D Face Understanding
Nächstes Kapitel An Idea of the Dynamic Signature Verification Based on a Hybrid Approach
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Metadaten
Titel
A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features
verfasst von
Marcin Zalasiński
Krzysztof Cpałka
Yoichi Hayashi
Copyright-Jahr
2016
Buch
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-39383-4

Electronic ISBN: 978-3-319-39384-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39384-1_20

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