Abstract

Biometric authentication systems raise certain concerns with regard to security, violation of privacy, and storage issues of biometric templates. This paper proposes a protection approach of biometric templates storage in a multimodal biometric system while ensuring both the cancelability of biometric templates and the efficiency of the authentication process. We propose applying a chaotic maps-based transform on the biometric features to address the cancelability issue. We used Logistic map and Torus Automorphism to generate cancelable biometric features of the face and fingerprint minutia points, respectively. Both transformed features would be concatenated and saved in the database of the system instead of the original features. In the authentication stage, the similarity scores of both transformed face and fingerprint templates are computed and fused using the weighted sum rule. The results of the experimentation, conducted using images from the ORL face and FVC2002 DB1 fingerprint databases, demonstrated the higher performance of the proposed approach achieving a genuine accept rate equal to 100%. Moreover, the obtained results confirmed the soundness of the proposed cancelable technique to satisfy the biometric systems’ requirements (i.e., security, revocability, and diversity).

Highlights

  • The last century witnessed tremendous development in biometric authentication systems owing to their characteristics which outperformed traditional authentication systems

  • The present paper proposes using chaotic maps to develop a new hybrid cancelable multimodal biometric template protection approach that guarantees the requirements in terms of performance, security, diversity, and revocability

  • This paper aimed to propose a robust algorithm for the protection of multimodal biometric templates while satisfying the criteria in terms of performance, security, revocability, and diversity

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Summary

Introduction

The last century witnessed tremendous development in biometric authentication systems owing to their characteristics which outperformed traditional authentication systems. A typical biometric authentication system uses a single biometric modality. Multimodal biometric authentication overcomes the drawbacks of unimodal biometric authentication, such as accuracy, non-universality, reliability, and security (vulnerability to spoofing attacks). Information fusion of different biometric modalities comprises a means to enhance the reliability of the biometric system without restoring the system to any other mechanism or technique. Despite providing a more efficient authentication procedure than traditional systems, biometric authentication systems are subject to several security attacks such as by-passing, repudiation, covert acquisition, collusion, coercion, and denial of service. Security specialists need to determine the appropriate mechanisms to counter these kinds of attacks. Storing biometric templates in the system database has raised concerns over their security

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