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Journal of Signal Processing Systems

, Volume 91, Issue 2, pp 163–177 | Cite as

A New Framework for Match on Card and Match on Host Quality Based Multimodal Biometric Authentication

  • Mohammad Sabri
  • Mohammad-Shahram MoinEmail author
  • Farbod Razzazi
Article
First Online:
  • 38 Downloads

Abstract

Smart cards are widely used to deploy secure and cost effective identity management systems. Integration of biometrics into the smart card leads to a strong two-factor authentication system through the match on card (MOC) process. Since MOC uses fixed authentication strategies during the life cycle of smart card, this leads to a low performance and high failure to acquire error in uncontrolled noisy environments. To solve this problem, this paper proposes a sequential quality based framework for biometric authentication. In the proposed framework a set of classifiers have been used to manage the workflow of the framework based on the quality of samples. Accordingly, subjects can be dynamically authenticated using MOC and MOH. A multimodal chimera database is used to evaluate this framework. Our findings indicate that the proposed approach provides higher accuracy than the unimodal MOC and MOH by 11.29% and 5.12%, respectively. Furthermore, the proposed framework can authenticate 83.85% of users without auxiliary trait at the expense of only 1.21% lower accuracy compared to parallel fusion, which require acquisition of all traits for entire users. Analysis of the results demonstrates that the proposed approach provides a compromise between accuracy, user convenience, security and system complexity.

Keywords

Multimodal biometrics Authentication Match on card Score level fusion 
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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical and Computer Engineering, Science and Research BranchIslamic Azad UniversityTehranIran
  2. 2.ICT Research Institute (ITRC)TehranIran

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