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 …
Police programmes that seek to increase community connectedness for reducing violent extremism behaviour, attitudes and beliefs
Background Police can play a role in tackling violent extremism through disrupting terrorist
plots and by working with communities to identify individuals at risk of radicalisation. Police …
plots and by working with communities to identify individuals at risk of radicalisation. Police …
Deep convolutional neural network for latent fingerprint enhancement
In this work, we propose a novel latent fingerprint enhancement method based on FingerNet
inspired by recent development of Convolutional Neural Network (CNN). Although CNN is …
inspired by recent development of Convolutional Neural Network (CNN). Although CNN is …
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 …
Learning fingerprint reconstruction: From minutiae to image
The set of minutia points is considered to be the most distinctive feature for fingerprint
representation and is widely used in fingerprint matching. It was believed that the minutiae …
representation and is widely used in fingerprint matching. It was believed that the minutiae …
Fingergan: a constrained fingerprint generation scheme for latent fingerprint enhancement
Latent fingerprint enhancement is an essential preprocessing step for latent fingerprint
identification. Most latent fingerprint enhancement methods try to restore corrupted gray …
identification. Most latent fingerprint enhancement methods try to restore corrupted gray …
Latent orientation field estimation via convolutional neural network
The orientation field of a fingerprint is crucial for feature extraction and matching. However,
estimation of orientation fields in latents is very challenging because latents are usually of …
estimation of orientation fields in latents is very challenging because latents are usually of …
Latent fingerprint recognition: Fusion of local and global embeddings
One of the most challenging problems in fingerprint recognition continues to be establishing
the identity of a suspect associated with partial and smudgy fingerprints left at a crime scene …
the identity of a suspect associated with partial and smudgy fingerprints left at a crime scene …
Localized dictionaries based orientation field estimation for latent fingerprints
Dictionary based orientation field estimation approach has shown promising performance
for latent fingerprints. In this paper, we seek to exploit stronger prior knowledge of …
for latent fingerprints. In this paper, we seek to exploit stronger prior knowledge of …