Identifying suspects based on impressions of fingers lifted from crime scenes (latent prints) is
a routine procedure that is extremely important to forensics and law enforcement agencies …

Latent fingerprint identification is of critical importance to law enforcement agencies in
identifying suspects: Latent fingerprints are inadvertent impressions left by fingers on …

This paper introduces a novel fingerprint matching algorithm using both ridge features and
the conventional minutiae feature to increase the recognition performance against nonlinear …

Effectively incorporating various features with minutiae in fingerprint matching is a
challenging task. This paper presents an algorithm to extract two novel discriminative …

Minutiae-based methods have been used in many commercial fingerprint matching systems.
Based primarily on a point pattern matching model, these methods rely heavily on the …

Traditionally, fingerprint matching is minutia-based, which establishes the minutiae
correspondences between two fingerprints. In this paper, a novel fingerprint matching …

Law enforcement agencies routinely collect both rolled and plain fingerprints of all the ten
fingers of suspects. These two types of fingerprints complement each other, since rolled …

The fingerprint is one of the oldest and most widely used biometric modality for person
identification. Existing automatic fingerprint matching systems perform well when the same …

Coping with nonlinear distortions in fingerprint matching is a challenging task. This paper
proposes a novel method, a fuzzy feature match (FFM) based on a local triangle feature set …

Dense registration of different impressions of the same finger is beneficial to various
fingerprint matching methods. This is a challenging problem due to elastic distortion of finger …