Most fingerprint recognition systems are based on the use of a minutiae set, which is an
unordered collection of minutiae locations and orientations suffering from various …

The spectral minutiae representation is a method to represent a minutiae set as a fixed-
length feature vector, which is invariant to translation, and in which rotation and scaling …

Minutiae are very important features for fingerprint representation, and most practical
fingerprint recognition systems only store the minutiae template in the database for further …

We introduce a novel fingerprint representation scheme that relies on describing the
orientation field of the fingerprint pattern with respect to each minutia detail. This …

For simplicity of pattern recognition system design, a sequential approach consisting of
sensing, feature extraction and classification/matching is conventionally adopted, where …

As an important feature, orientation field describes the global structure of fingerprints. It
provides robust discriminatory information other than traditional widely-used minutiae points …

Minutiae point pattern matching is the most common approach for fingerprint verification.
Although many minutiae point pattern matching algorithms have been proposed, reliable …

Minutiae, which are the endpoints and bifurcations of fingerprint ridges, allow a very
discriminative classification of fingerprints. However, a minutiae set is an unordered set and …

This paper presents a method of minutiae based fingerprint matching that is robust to
deformations and does not do fingerprint alignment. It concentrates on comparing rotation …

Fingerprints are being extensively used for person identification in a number of commercial,
civil, and forensic applications. Most of the current fingerprint verification systems utilize …