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 …

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 …

We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …

Palmprint recognition is a challenging problem, mainly due to low quality of the pattern,
large nonlinear distortion between different impressions of the same palm and large image …

Latent fingerprints are usually processed with Automated Fingerprint Identification Systems
(AFIS) by law enforcement agencies to narrow down possible suspects from a criminal …

Although some nice properties of the Delaunay triangle-based structure have been
exploited in many fingerprint authentication systems and satisfactory outcomes have been …

Any proposal to provide security for implantable medical devices (IMDs), such as cardiac
pacemakers and defibrillators, has to achieve a trade-off between security and accessibility …

Billions of fingerprint images are acquired and matched to protect the national borders and
in a range of egovernance applications. Fast and accurate minutiae detection from …

This paper presents VENICE, a new soft vector processor (SVP) for FPGA applications.
VENICE differs from previous SVPs in that it was designed for maximum throughput with a …

Latent fingerprints recognition is very useful in law enforcement and forensics applications.
However, automated matching of latent fingerprints with a gallery of live scan images is very …