Latent fingerprint identification is attracting increasing interest because of its important role
in law enforcement. Although the use of various fingerprint features might be required for …

A biometric system is vulnerable to a variety of attacks aimed at undermining the integrity of
the authentication process. These attacks are intended to either circumvent the security …

In this paper, we introduce the Minutia Cylinder-Code (MCC): a novel representation based
on 3D data structures (called cylinders), built from minutiae distances and angles. The …

This paper proposes a novel technique for fruit detection in natural environments which is
applicable in automatic harvesting robots, yield estimation systems and quality monitoring …

The evidential value of palmprints in forensics is clear as about 30% of the latents recovered
from crime scenes are from palms. While palmprint-based personal authentication systems …

Fingerprint matching systems generally use four types of representation schemes: grayscale
image, phase image, skeleton image, and minutiae, among which minutiae-based …

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

Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …

A novel minutiae-based fingerprint matching algorithm is proposed. A minutiae matching
algorithm has to solve two problems: correspondence and similarity computation. For the …

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 …