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 …

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 …

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 …

Biometric technology is likely to provide a new level of security to various applications. Yet if
the stored biometric template is compromised, invasion of user privacy is inevitable. Since …

With the availability of live-scan palmprint technology, high resolution palmprint recognition
has started to receive significant attention in forensics and law enforcement. In forensic …

Currently, most mobile devices adopt very small fingerprint sensors that only capture small
partial fingerprint images. Accordingly, conventional minutiae-based fingerprint matchers …

Latent fingerprint has been used as evidence in the court of law for over 100 years.
However, even today, a completely automated latent fingerprint system has not been …

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

Fingerprint identification is an important issue for identifying fingerprints and plays a key role
in the fingerprint recognition systems. However, performing a fingerprint identification over a …