Automated latent fingerprint identification system: A review
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 …
of crime. The process of developing, acquiring, processing and matching of latent …
FingerNet: An unified deep network for fingerprint minutiae extraction
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 …
works on rolled/slap fingerprints failed on latent fingerprints due to noisy ridge patterns and …
Automated latent fingerprint recognition
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 …
enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the …
Segmentation and enhancement of latent fingerprints: A coarse to fine ridgestructure dictionary
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 …
However, compared to rolled and plain fingerprint matching, latent identification accuracy is …
End-to-end latent fingerprint search
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 …
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
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 …
crime scenes or objects. A major challenge in latent fingerprint forensics is the poor quality …
Latent fingerprint matching: A survey
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 …
However, even today, a completely automated latent fingerprint system has not been …
Adaptive directional total-variation model for latent fingerprint segmentation
A new image decomposition scheme, called the adaptive directional total variation (ADTV)
model, is proposed to achieve effective segmentation and enhancement for latent fingerprint …
model, is proposed to achieve effective segmentation and enhancement for latent fingerprint …
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification
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 …
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 …
solutions or to be even integrated into modern smartphone devices. Thus, smartphone …