A novel algorithm of fingerprint encryption using minutiae-based transformation

  • Authors:
  • Haiyong Chen;Hailiang Chen

  • Affiliations:
  • ETCORE Labs, Beijing 100086, China;Krannert School of Management, Purdue University, USA

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2011

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Abstract

This paper presents a novel algorithm of fingerprint encryption which transforms fingerprint minutiae and performs matching in the transformed form. If an encrypted template is compromised, it can be cancelled by choosing just another transformed template. In our algorithm, a circular region is constructed around each minutia and non-invertible transformation is applied to all regions but only transformed regions are stored in the database. The proposed algorithm improves the accuracy of verification compared to related fuzzy vault systems. Experimental results show the comparative performance of matching using both transformed and original data. We find that transformed matching also has an impressive accuracy and speed.