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

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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.

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Notes

  1. http://www.nist.gov/itl/iad/ig/nbis.cfm

  2. http://www.neurotechnology.com/verilook.html

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mohammad Sabri & Farbod Razzazi

  2. ICT Research Institute (ITRC), Tehran, Iran

    Mohammad-Shahram Moin

Authors
  1. Mohammad Sabri
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  2. Mohammad-Shahram Moin
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  3. Farbod Razzazi
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Correspondence to Mohammad-Shahram Moin.

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Sabri, M., Moin, MS. & Razzazi, F. A New Framework for Match on Card and Match on Host Quality Based Multimodal Biometric Authentication. J Sign Process Syst 91, 163–177 (2019). https://doi.org/10.1007/s11265-018-1385-4

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  • DOI: https://doi.org/10.1007/s11265-018-1385-4

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