Automated latent fingerprint identification system: A review

N Singla, M Kaur, S Sofat - Forensic science international, 2020 - Elsevier
Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of developing, acquiring, processing and matching of latent …

[PDF][PDF] A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.

D Valdes-Ramirez, MA Medina-Pérez, R Monroy… - IEEE Access, 2019 - academia.edu
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 …

Automated latent fingerprint recognition

K Cao, AK Jain - IEEE transactions on pattern analysis and …, 2018 - ieeexplore.ieee.org
Latent fingerprints are one of the most important and widely used evidence in law
enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the …

Improving automated latent fingerprint detection and segmentation using deep convolutional neural network

M Chhabra, KK Ravulakollu, M Kumar… - Neural Computing and …, 2023 - Springer
Latent fingerprint segmentation is a complex process of separating relevant areas called
fingerprints from an irrelevant background in the latent fingerprint image which is of poor …

Fingergan: a constrained fingerprint generation scheme for latent fingerprint enhancement

Y Zhu, X Yin, J Hu - IEEE Transactions on Pattern Analysis and …, 2023 - ieeexplore.ieee.org
Latent fingerprint enhancement is an essential preprocessing step for latent fingerprint
identification. Most latent fingerprint enhancement methods try to restore corrupted gray …

Multisensor optical and latent fingerprint database

A Sankaran, M Vatsa, R Singh - IEEE access, 2015 - ieeexplore.ieee.org
Large-scale fingerprint recognition involves capturing ridge patterns at different time
intervals using various methods, such as live-scan and paper-ink approaches, introducing …

Rare-Earth Ion-Activated Nanostructured Fluorescent Marker for Easy Naked Eye Detection and Swift Imaging of Latent Fingerprints

PP Pradhan, R Muddamalla, AA Sharma… - ACS Applied Nano …, 2023 - ACS Publications
Latent fingerprint (LFP) imaging is critical for crime scene detection and personal data
recognition. In law enforcement applications, there is a great need for new materials that are …

Improving automated latent fingerprint identification using extended minutia types

RP Krish, J Fierrez, D Ramos, F Alonso-Fernandez… - Information …, 2019 - Elsevier
Latent fingerprints are usually processed with Automated Fingerprint Identification Systems
(AFIS) by law enforcement agencies to narrow down possible suspects from a criminal …

Dual-mode luminous and afterglow Ca3Al2Ge3O12: Yb3+, Er3+ phosphors for anti-counterfeiting and fingerprint verification

J Zhang, Z Wang, P Liu, X Huo, Y Wang, H Suo, L Li… - Ceramics …, 2024 - Elsevier
Generally, traditional anti-counterfeiting fluorescent materials usually show a single peak
under single wavelength excitation, which cannot meet the security of authentication …

Group sparse autoencoder

A Sankaran, M Vatsa, R Singh, A Majumdar - Image and Vision Computing, 2017 - Elsevier
Unsupervised feature extraction is gaining a lot of research attention following its success to
represent any kind of noisy data. Owing to the presence of a lot of training parameters, these …