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Introduction to Presentation Attacks in Signature Biometrics and Recent Advances

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Handbook of Biometric Anti-Spoofing

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Applications based on biometric authentication have received a lot of interest in the last years due to the breathtaking results obtained using personal traits such as face or fingerprint. However, it is important not to forget that these biometric systems have to withstand different types of possible attacks. This chapter carries out an analysis of different Presentation Attack (PA) scenarios for on-line handwritten signature verification. The main contributions of this chapter are: (i) an updated overview of representative methods for Presentation Attack Detection (PAD) in signature biometrics; (ii) a description of the different levels of PAs existing in on-line signature verification regarding the amount of information available to the impostor, as well as the training, effort, and ability to perform the forgeries; and (iii) an evaluation of the system performance in signature biometrics under different scenarios considering recent publicly available signature databases, DeepSignDB (https://github.com/BiDAlab/DeepSignDB) and SVC2021_EvalDB (https://github.com/BiDAlab/SVC2021_EvalDB), (https://competitions.codalab.org/competitions/27295). This work is in line with recent efforts in the Common Criteria standardization community towards security evaluation of biometric systems.

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Notes

  1. 1.

    https://competitions.codalab.org/competitions/27295.

  2. 2.

    https://competitions.codalab.org/competitions/27295.

  3. 3.

    https://github.com/BiDAlab/DeepSignDB.

  4. 4.

    https://github.com/BiDAlab/SVC2021_EvalDB.

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Acknowledgements

The chapter update for the 3rd Edition of the book has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 860315 (PRIMA) and No 860813 (TRESPASS-ETN). Partial funding also from INTER-ACTION (PID2021-126521OB-I00 MICINN/FEDER), Orange Labs, and Cecabank.

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Authors and Affiliations

  1. Biometrics and Data Pattern Analytics—BiDA Lab, Escuela Politecnica Superior, Universidad Autonoma de Madrid, 28049, Madrid, Spain

    Carlos Gonzalez-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez & Javier Ortega-Garcia

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  1. Carlos Gonzalez-Garcia
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  2. Ruben Tolosana
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  3. Ruben Vera-Rodriguez
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  4. Julian Fierrez
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  5. Javier Ortega-Garcia
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Correspondence to Ruben Tolosana , Ruben Vera-Rodriguez or Julian Fierrez .

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Editors and Affiliations

  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  3. EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

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Gonzalez-Garcia, C., Tolosana, R., Vera-Rodriguez, R., Fierrez, J., Ortega-Garcia, J. (2023). Introduction to Presentation Attacks in Signature Biometrics and Recent Advances. In: Marcel, S., Fierrez, J., Evans, N. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, Singapore. https://doi.org/10.1007/978-981-19-5288-3_16

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