Offline signature verification using structural dynamic time warping
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Autor:in (Körperschaft)
Publikationsdatum
2019
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
ICDAR 2019. The 15th IAPR International Conference on Document Analysis and Recognition. 20-25 September 2019, Sydney, Australia. Proceedings
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
1117-1124
Patentnummer
Verlag / Herausgebende Institution
IEEE
Verlagsort / Veranstaltungsort
New York
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
In recent years, different approaches for handwriting recognition that are based on graph representations have been proposed (e.g. graph-based keyword spotting or signature verification). This trend is mostly due to the availability of novel fast graph matching algorithms, as well as the inherent flexibility and expressivity of graph data structures when compared to vectorial representations. That is, graphs are able to directly adapt their size and structure to the size and complexity of the respective handwritten entities. However, the vast majority of the proposed approaches match the graphs from a global perspective only. In the present paper, we propose to match the underlying graphs from different local perspectives and combine the resulting assignments by means of Dynamic Time Warping. Moreover, we show that the proposed approach can be readily combined with global matchings. In an experimental evaluation, we employ the novel method in a signature verification scenario on two widely used benchmark datasets. On both datasets, we empirically confirm that the proposed approach outperforms state-of-the-art methods with respect to both accuracy and runtime.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
15th IAPR 2019 International Conference on Document Analysis and Recognition (ICDAR 2019)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
20.09.2019
Enddatum der Konferenz
25.09.2019
Datum der letzten Prüfung
ISBN
978-1-7281-2861-0
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, Rolf INGOLD und Kaspar RIESEN, 2019. Offline signature verification using structural dynamic time warping. In: ICDAR 2019. The 15th IAPR International Conference on Document Analysis and Recognition. 20-25 September 2019, Sydney, Australia. Proceedings. New York: IEEE. 2019. S. 1117–1124. ISBN 978-1-7281-2861-0. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42708