Fingerprints are the oldest and most widely used form of biometric identification. Everyone is
known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition …

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 …

Determining dense feature points on fingerprints used in constructing deep fixed-length
representations for accurate matching, particularly at the pixel level, is of significant interest …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

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 …

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 …

Reliable and accurate fingerprint recognition is a challenging pattern recognition problem,
requiring algorithms robust in many contexts. FVC2000 competition attempted to establish …

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 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 …

Infrared (IR) imaging in medicine has been used in the past but without the advantage of
twenty-firstcentury technology. In 1994, under the Department of Defense (DOD) grants …