Template protected fingerprint authentication techniques have been proposed, which
enables to create an irreversible fingerprint template. In this paper, we propose a new …

The spectral minutiae representation is designed for combining fingerprint recognition with
template protection. This puts several constraints to the fingerprint recognition system: first …

Minutiae-based vector representation algorithms have been proposed, which allow us not
only to speed up matching tasks, but also to easily apply for various template protection …

Biometric authentication has a great potential to improve the security, reduce cost, and
enhance the customer convenience of payment systems. Despite these benefits, biometric …

Storage of biometric data requires some form of template protection in order to preserve the
privacy of people enrolled in a biometric database. One approach is to use a Helper Data …

The spectral minutiae representation introduced in this paper is a novel method to represent
a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which …

This chapter formalizes the fingerprint matching problem, namely finding a similarity
between any given fingerprint pair. The requirements of the matching problem are high …

The fingerprint identification is an efficient biometric technique to authenticate human beings
in real‐time Big Data Analytics. In this paper, we propose an efficient Finite State Machine …

We introduce a new fixed-length representation of fingerprint minutiae, for use in template
protection. It is similar to thespectral minutiae'representation of Xu et al. but is based on …

This paper proposes to apply spectral minutiae representation and deep learning for
fingerprint recognition. The fingerprint is one important biometric feature, and its recognition …