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 …

FingerNet: An unified deep network for fingerprint minutiae extraction

Y Tang, F Gao, J Feng, Y Liu - 2017 IEEE International Joint …, 2017 - ieeexplore.ieee.org
Minutiae extraction is of critical importance in automated fingerprint recognition. Previous
works on rolled/slap fingerprints failed on latent fingerprints due to noisy ridge patterns and …

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 …

Segmentation and enhancement of latent fingerprints: A coarse to fine ridgestructure dictionary

K Cao, E Liu, AK Jain - IEEE transactions on pattern analysis …, 2014 - ieeexplore.ieee.org
Latent fingerprint matching has played a critical role in identifying suspects and criminals.
However, compared to rolled and plain fingerprint matching, latent identification accuracy is …

End-to-end latent fingerprint search

K Cao, DL Nguyen, C Tymoszek… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Latent fingerprints are one of the most important and widely used sources of evidence in law
enforcement and forensic agencies. Yet the performance of the state-of-the-art latent …

State-of-the-art: A systematic literature review of image segmentation in latent fingerprint forensics

M Chhabra, MK Shukla… - Recent Advances in …, 2020 - ingentaconnect.com
Latent fingerprints are unintentional finger skin impressions left as invisible ridge patterns at
crime scenes or objects. A major challenge in latent fingerprint forensics is the poor quality …

Latent fingerprint matching: A survey

A Sankaran, M Vatsa, R Singh - IEEE Access, 2014 - ieeexplore.ieee.org
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 …

Adaptive directional total-variation model for latent fingerprint segmentation

J Zhang, R Lai, CCJ Kuo - IEEE Transactions on Information …, 2013 - ieeexplore.ieee.org
A new image decomposition scheme, called the adaptive directional total variation (ADTV)
model, is proposed to achieve effective segmentation and enhancement for latent fingerprint …

Adaptive latent fingerprint segmentation using feature selection and random decision forest classification

A Sankaran, A Jain, T Vashisth, M Vatsa, R Singh - Information Fusion, 2017 - Elsevier
Latent fingerprints are important evidences used by law enforcement agencies. However,
current state-of-the-art for automatic latent fingerprint recognition is not as reliable as live …

[HTML][HTML] Towards using police officers' business smartphones for contactless fingerprint acquisition and enabling fingerprint comparison against contact-based …

C Kauba, D Söllinger, S Kirchgasser, A Weissenfeld… - Sensors, 2021 - mdpi.com
Recent developments enable biometric recognition systems to be available as mobile
solutions or to be even integrated into modern smartphone devices. Thus, smartphone …