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Handwritten Signature Verification: The State of the Art

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists (BICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 636))

Abstract

Nowadays handwritten signature and its verification is utilized in a lot of applications including e-commerce. An analysis of verification algorithms and areas of their practical usage is provided. The focus of the investigation is on verification method based on neural network. This type of verification algorithm is realized as a mobile application and its main characteristics are obtained. The directions of further work are concluded including a modification of an algorithm and its realization in order to remove its disadvantages.

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References

  1. Kashi, R.S., Hu, J., Nelson, W.L., Turin, W.: On-line handwritten signature verification using hidden markov model features. In: IEEE Proceedings 4th International Conference Document Analysis and Recognition, pp. 253–257 (1997)

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Acknowledgments

Authors acknowledge support from the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).

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Authors and Affiliations

  1. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia

    Anastasia Beresneva, Anna Epishkina, Sergey Babkin, Alexey Kurnev & Vladimir Lermontov

Authors
  1. Anastasia Beresneva
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  2. Anna Epishkina
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  3. Sergey Babkin
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  4. Alexey Kurnev
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  5. Vladimir Lermontov
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Corresponding author

Correspondence to Anna Epishkina .

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Editors and Affiliations

  1. Krasnow Institute, George Mason University, Fairfax, VA, USA

    Alexei V. Samsonovich

  2. National Research Nuclear University MEPhI, Moscow, Russia

    Valentin V. Klimov

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© 2018 Springer International Publishing AG

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Beresneva, A., Epishkina, A., Babkin, S., Kurnev, A., Lermontov, V. (2018). Handwritten Signature Verification: The State of the Art. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_33

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  • DOI: https://doi.org/10.1007/978-3-319-63940-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63939-0

  • Online ISBN: 978-3-319-63940-6

  • eBook Packages: EngineeringEngineering (R0)

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