This paper reviews the fingerprint classification literature looking at the problem from a
double perspective. We first deal with feature extraction methods, including the different …

In the first part of this paper we reviewed the fingerprint classification literature from two
different perspectives: the feature extraction and the classifier learning. Aiming at answering …

Fingerprint singularities play an important role in several fingerprint recognition and
classification systems. Although some general relationships and constraints about the …

Fingerprints provide the most widespread biométrie unit of measure used for individual
identification. In forensic applications, narrowing the search space is a crucial stage for …

A fingerprint classification algorithm is presented in this paper. Fingerprints are classified
into five categories: arch, tented arch, left loop, right loop and whorl. The algorithm extracts …

Fingerprint classification is crucial to reduce the processing time in a large-scale database.
Two popular features used are the singularities and orientation information and they are …

In this paper, we introduce a new approach to fingerprint classification based on extraction
and analysis of both singularities and traced pseudo ridges relating to singular points …

In this work, we introduce a new approach to automatic fingerprint classification. The
directional image is partitioned into" homogeneous" connected regions according to the …

This work addresses the problem of fingerprint retrieval in a large database. Traditional
approaches adopt exclusive classification of fingerprints; the paper shows that a continuous …

Fingerprint classification was introduced to reduce the searching time of fingerprint
recognition. There have been many new approaches introduced, mostly in the design of …