Progressive researches on IoT security: An exhaustive analysis from the perspective of protocols, vulnerabilities, and preemptive architectonics
M Mahbub - Journal of Network and Computer Applications, 2020 - Elsevier
The IoT is the upcoming one of the major networking technologies. Using the IoT, different
items or devices can be allowed to continuously generate, obtain, and exchange …
items or devices can be allowed to continuously generate, obtain, and exchange …
A systematic review on physiological-based biometric recognition systems: current and future trends
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …
physiological traits. This article presents recent advances in physiological-based biometric …
Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
Learning a fixed-length fingerprint representation
We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …
Robust minutiae extractor: Integrating deep networks and fingerprint domain knowledge
We propose a fully automatic minutiae extractor, called MinutiaeNet, based on deep neural
networks with compact feature representation for fast comparison of minutiae sets …
networks with compact feature representation for fast comparison of minutiae sets …
Afr-net: Attention-driven fingerprint recognition network
The use of vision transformers (ViT) in computer vision is increasing due to its limited
inductive biases (eg, locality, weight sharing, etc.) and increased scalability compared to …
inductive biases (eg, locality, weight sharing, etc.) and increased scalability compared to …
[PDF][PDF] A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.
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 …
in law enforcement. Although the use of various fingerprint features might be required for …
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 …
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 …
Automatic fingerprint classification using deep learning technology (DeepFKTNet)
Fingerprints are gaining in popularity, and fingerprint datasets are becoming increasingly
large. They are often captured utilizing a variety of sensors embedded in smart devices such …
large. They are often captured utilizing a variety of sensors embedded in smart devices such …