Minutiae feature extraction and matching are not only two crucial tasks for identifying
fingerprints, but also play an eminent role as core components of automated fingerprint …

Fingerprints have been an invaluable tool for law enforcement and forensics for over a
century, motivating research into automated fingerprint-based identification in the early …

This paper presents the idea to use linear symmetry properties as a feature based pre-
processing step for fingerprint images. These features contain structural information of the …

The fingerprint matching using the original FingerCode generation has proved its
effectiveness but it suffers from some limitations such as the reference point localization and …

This paper presents a model-based approach which efficiently retrieves correct hypotheses
using properties of triangles formed by the triplets of minutiae as the basic representation …

This paper presents a novel minutiae matching approach to fingerprint verification. Given an
input or a template fingerprint image, minutiae are extracted first. Using Delaunay …

We define a novel feature vector for each fingerprint minutia based on the global orientation
field. These features are used to identify corresponding minutiae between two fingerprint …

Today, when comparing classical fingerprint matching and more constrained algorithms, like
after binary quantization for biometric privacy protection purpose, there is an important gap …

Most fingerprint-based biometric systems store the minutiae template of a user in the
database. It has been traditionally assumed that the minutiae template of a user does not …

Traditional minutiae matching algorithms assume that each minutia has the same
discriminability. However, this assumption is challenged by at least two facts. One of them is …