Alignment-free cancelable fingerprint template design: A densely infinite-to-one mapping (DITOM) approach

  • Authors:
  • Song Wang;Jiankun Hu

  • Affiliations:
  • School of Engineering and Mathematical Sciences, La Trobe University, VIC 3086, Australia;School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Canberra ACT 2600, Australia

  • Venue:
  • Pattern Recognition
  • Year:
  • 2012

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Abstract

Registration-based cancelable template schemes rely on accurate fingerprint image alignment, which is very difficult to achieve. In this paper, by exploiting pair-minutiae vectors, we develop a lightweight, alignment-free scheme for generating cancelable fingerprint templates. The proposed mathematical model is based on a densely infinite-to-one mapping (DITOM) aiming to achieve the non-invertible property. The transformation designed describes the intersection of a collection of hyperplanes and effectively realizes infinite-to-one mapping. The proposed scheme has the properties of non-invertibility, revocability and multiple template independence. Evaluation of the proposed scheme over FVC2002 DB1, DB2 and DB3 shows that the new method exhibits satisfactory performance compared to existing methods.