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Survey of Preprocessing Techniques and Classification Approaches in Online Signature Verification

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Image Analysis and Recognition (ICIAR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12131))

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Abstract

This paper reviews the latest results in the field of online signature verification and summarizes the previously published major surveys and also over 30 papers from the last decade. We examine the steps of the verification process and show the most popular approaches used. Our results show that alignment and scaling are the most common methods used in preprocessing. Position, velocity, and pressure are the most commonly used measures for feature extraction while dynamic time warping is the most commonly used approach for verification. A comparison between these methods using different databases concludes this work. The error rate varies between 0.77% to 7.13%, with an average of 2.94%. The results and comparisons published in this paper may help researchers choose the most promising approaches for their systems.

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Acknowledgment

Project no. FIEK_16-1-2016-0007 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the Centre for Higher Education and Industrial Cooperation - Research infrastructure development (FIEK_16) funding scheme.

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Authors and Affiliations

  1. Budapest University of Technology and Economics, Muegyetem rkp. 3, Budapest, 1111, Hungary

    Mohammad Saleem & Bence Kovari

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  1. Mohammad Saleem
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  2. Bence Kovari
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Correspondence to Mohammad Saleem .

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Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. University of Waterloo, Waterloo, ON, Canada

    Fakhri Karray

  3. University of Waterloo, Waterloo, ON, Canada

    Zhou Wang

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Saleem, M., Kovari, B. (2020). Survey of Preprocessing Techniques and Classification Approaches in Online Signature Verification. In: Campilho, A., Karray, F., Wang, Z. (eds) Image Analysis and Recognition. ICIAR 2020. Lecture Notes in Computer Science(), vol 12131. Springer, Cham. https://doi.org/10.1007/978-3-030-50347-5_23

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  • DOI: https://doi.org/10.1007/978-3-030-50347-5_23

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