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Ergodic HMM-UBM System for On-Line Signature Verification

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Biometric ID Management and Multimodal Communication (BioID 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5707))

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Abstract

We propose a novel approach for on-line signature verification based on building HMM user models by adapting an ergodic Universal Background Model (UBM). State initialization of this UBM is driven by a dynamic signature feature. This approach inherits the properties of the GMM-UBM mechanism, such as minimizing overfitting due to scarcity of user training data and allowing a world-model type of likelihood normalization. This system is experimentally compared to a baseline state-of-the-art HMM-based online signature verification system using two different databases: the well known MCYT-100 corpus and a subset of the signature part of the BIOSECURE-DS2 corpus. The HMM-UBM approach obtains promising results, outperforming the baseline HMM-based system on all the experiments.

This work has been partially supported by Spanish Ministry of Science and Innovation through project TEC2008-05894.

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Argones Rúa, E., Pérez-Piñar López, D., Alba Castro, J.L. (2009). Ergodic HMM-UBM System for On-Line Signature Verification. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_44

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  • DOI: https://doi.org/10.1007/978-3-642-04391-8_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04390-1

  • Online ISBN: 978-3-642-04391-8

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