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Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T-operators

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Abstract

With the emergence of biometric-based authentication systems in real-world applications, template protection in biometrics is a significant issue to be considered in the recent years. This paper presents two feature set computation algorithms, namely nearest neighbor feature set (NNFS) and Delaunay triangle feature set (DTFS), for a fingerprint sample. Further, the match scores obtained from these algorithms are fused using weighted sum rule and T-operators (T-norms and T-conorms). The experimental evaluation done on FVC 2002 databases confirms the credibility of fusion method compared to each individual algorithm used for fusing. The EER obtained for proposed method is 0 %, 0.059 %, and 3.93 % for FVC 2002 DB1, DB2, and DB3 databases, respectively. This paper also aims to prove the effectiveness of applying T-operators for fusion at score level in fingerprint template protection.

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Authors and Affiliations

  1. Institute for Development and Research in Banking Technology, Road No.1, Castle Hills, Masab Tank, Hyderabad, 500057, India

    Mulagala Sandhya & Munaga V. N. K. Prasad

  2. School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, 500046, India

    Mulagala Sandhya

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  1. Mulagala Sandhya
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  2. Munaga V. N. K. Prasad
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Correspondence to Mulagala Sandhya.

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Sandhya, M., Prasad, M.V.N.K. Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T-operators. Pattern Anal Applic 21, 397–412 (2018). https://doi.org/10.1007/s10044-016-0584-5

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  • DOI: https://doi.org/10.1007/s10044-016-0584-5

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