Graph embedding for offline handwritten signature verification

ICBEA 2019. Proceedings of 2019 3rd International Conference on Biometric Engineering and Applications (ICBEA 2019). Stockholm, Sweden, May 29-31, 2019

Themenheft

DOI der Originalpublikation

https://doi.org/10.1145/3345336.3345346

URI

https://irf.fhnw.ch/handle/11654/42554

Link

Reihe / Serie

Reihennummer

Jahrgang / Band

Ausgabe / Nummer

Seiten / Dauer

69-76

Patentnummer

Verlag / Herausgebende Institution

Verlagsort / Veranstaltungsort

Stockholm

Auflage

Version

Programmiersprache

Abtretungsempfänger:in

Praxispartner:in/Auftraggeber:in

Zusammenfassung

Due to the high availability and applicability, handwritten signatures are an eminent biometric authentication measure in our life. To mitigate the risk of a potential misuse, automatic signature verification tries to distinguish between genuine and forged signatures. Most of the available signature verification approaches make use of vectorial rather than graph-based representations of the handwriting. This is rather surprising as graphs offer some inherent advantages. Graphs are, for instance, able to directly adapt their size and structure to the size and complexity of the respective handwritten entities. Moreover, several fast graph matching algorithms have been proposed recently that allow to employ graphs also in domains with large amounts of data. The present paper proposes to use different graph embedding approaches in conjunction with a recent graph-based signature verification framework. That is, signature graphs are not directly matched with each other, but first compared with a set of predefined prototype graphs, in order to obtain a dissimilarity representation. In an experimental evaluation, we employ the proposed method on two widely used benchmark datasets. On both datasets, we empirically confirm that the learning-free graph embedding outperforms state-of-the-art methods with respect to both accuracy and runtime.

Schlagwörter

Fachgebiet (DDC)

330 - Wirtschaft

Projekt

Veranstaltung

3rd International Conference on Biometric Engineering and Applications (ICBEA 2019)

Startdatum der Ausstellung

Enddatum der Ausstellung

Startdatum der Konferenz

29.05.2019

Enddatum der Konferenz

31.05.2019

Datum der letzten Prüfung

ISBN

978-1-4503-6305-1

ISSN

Sprache

Englisch

Während FHNW Zugehörigkeit erstellt

Ja

Zukunftsfelder FHNW

Publikationsstatus

Veröffentlicht

Begutachtung

Peer-Review der ganzen Publikation

Open Access-Status

Closed

Lizenz

Zitation

STAUFFER, Michael, Paul MAERGNER, Andreas FISCHER und Kaspar RIESEN, 2019. Graph embedding for offline handwritten signature verification. In: ICBEA 2019. Proceedings of 2019 3rd International Conference on Biometric Engineering and Applications (ICBEA 2019). Stockholm, Sweden, May 29-31, 2019. Stockholm. 2019. S. 69–76. ISBN 978-1-4503-6305-1. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42554

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