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An Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1576))

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Abstract

Biometric template protection has been a topic of interest ever since biometrics took over authentication and verification systems. High sensitivity of biometric information of an individual makes it paramount to transform the raw biometric data into an irreversible form that can be enrolled into the database. Fingerprint-based biometric systems make use of minutiae points information. However, it has been shown that the original fingerprint information can be retraced using the measurements of its minutiae points. Consequently, it is essential to ensure that the fingerprint templates in fingerprint-based biometric systems are secure. Fingerprint authentication systems often encounter the problem of variation among fingerprint impressions of the same subject. This arises due to the effect of rotation and translation at the sensor end while capturing the fingerprint data. To eliminate these issues, an alignment-free template protection technique has been proposed in this work, which not only solves the problem of revocability but also provides a secure irreversible transformation without having to compromise the performance of the authentication system. Experimental analysis has been conducted on FVC2002 DB1 and FVC2002 DB2 databases and it depicts highly encouraging performance.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, 453552, India

    Afeeza Ali, Vivek Singh Baghel & Surya Prakash

Authors
  1. Afeeza Ali
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  2. Vivek Singh Baghel
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  3. Surya Prakash
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Corresponding author

Correspondence to Afeeza Ali .

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Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    KC Santosh

  2. Central University of Karnataka, Gulbarga, India

    Ravindra Hegadi

  3. Indian Statistical Institute, Kolkata, India

    Umapada Pal

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Ali, A., Baghel, V.S., Prakash, S. (2022). An Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets. In: Santosh, K., Hegadi, R., Pal, U. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2021. Communications in Computer and Information Science, vol 1576. Springer, Cham. https://doi.org/10.1007/978-3-031-07005-1_16

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  • DOI: https://doi.org/10.1007/978-3-031-07005-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07004-4

  • Online ISBN: 978-3-031-07005-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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