Ergodic HMM-UBM system for on-line signature verification

  • Authors:
  • Enrique Argones Rúa;David Pérez-Piñar López;José Luis Alba Castro

  • Affiliations:
  • Signal Theory Group, Signal Theory and Communications Department, University of Vigo;Signal Theory Group, Signal Theory and Communications Department, University of Vigo;Signal Theory Group, Signal Theory and Communications Department, University of Vigo

  • Venue:
  • BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
  • Year:
  • 2009

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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.