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Template Protection in Multimodal Biometric System Using Watermarking Approach

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Computer Networks, Big Data and IoT

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 117))

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Abstract

A biometric system examines the behavioral and physical traits of a person to recognize the unique qualities of that person. Multimodal biometric systems, which combine data from a variety of biometrics, have recently gotten a lot of interest because they can overcome the restrictions of unimodal biometric systems. Due to safety and privacy concerns, template preservation is necessary in biometric-based authentication systems. The privacy issues have been occurred because of the improper storing and usage of templates. Template protection techniques are being developed so that templates saved in databases remain secure and unauthorized users cannot access them. The main goals of these strategies are to achieve safety and privacy. This paper shows how to preserve templates in multimodal biometric systems via watermarking. Biometric features such as face and fingerprints are employed in this case. In this paper, discrete wavelet transform (DWT) watermarking technique is used to incorporate a fingerprint image into a face image, allowing for secure database storage. Both fingerprint and facial patterns are extracted from the watermarked image and matched against query images during authentication. The matching score acquired after fusing fingerprint and facial matching scores at the match score level determines the final choice. The testing results show that the watermarked image is perceptually identical to the original, and that the retrieved features are also same. The proposed method protects templates and generates a secure, dependable, and accurate authentication result.

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Authors and Affiliations

  1. Department of Computer Science, Nesamony Memorial Christian College, Marthandam Affiliated To Manonmaniam Sundaranar University, Tirunelveli, India

    C. Vensila & A. Boyed Wesley

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  1. C. Vensila
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  2. A. Boyed Wesley
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Correspondence to C. Vensila .

Editor information

Editors and Affiliations

  1. Dean (R&D), CARE College of Engineering, Trichy, India

    A. Pasumpon Pandian

  2. Department of Electrical and Computer Engineering, Ryerson Communications Lab, Toronto, ON, Canada

    Xavier Fernando

  3. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Wang Haoxiang

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Vensila, C., Boyed Wesley, A. (2022). Template Protection in Multimodal Biometric System Using Watermarking Approach. In: Pandian, A.P., Fernando, X., Haoxiang, W. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-19-0898-9_49

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  • DOI: https://doi.org/10.1007/978-981-19-0898-9_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0897-2

  • Online ISBN: 978-981-19-0898-9

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