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

Special issue

DOI of the original publication

https://doi.org/10.1145/3345336.3345346

URI

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

Link

Series

Series number

Volume

Issue / Number

Pages / Duration

69-76

Patent number

Publisher / Publishing institution

Place of publication / Event location

Stockholm

Edition

Version

Programming language

Assignee

Practice partner / Client

Abstract

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.

Keywords

Subject (DDC)

330 - Wirtschaft

Project

Event

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

Exhibition start date

Exhibition end date

Conference start date

29.05.2019

Conference end date

31.05.2019

Date of the last check

ISBN

978-1-4503-6305-1

ISSN

Language

English

Created during FHNW affiliation

Yes

Strategic action fields FHNW

Publication status

Published

Review

Peer review of the complete publication

Open access category

Closed

License

Citation

Stauffer, M., Maergner, P., Fischer, A., & Riesen, K. (2019). 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, 69–76. https://doi.org/10.1145/3345336.3345346

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