Latent palmprint identification is a crucial element for both law enforcement and integrated
automated fingerprint identification systems because approximately 30% of the imprints …

This paper presents a new public available database for latent palmprint identification.
Latent palmprint identification is an important research area which includes scientific …

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 …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

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 …

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual
recognition. In this paper, we present a comparative study of three popular pre-trained CNN …

This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …

In forensic applications the evidential value of palmprints is obvious according to surveys of
law enforcement agencies which indicate that 30 percent of the latents recovered from crime …