Improving automated latent fingerprint detection and segmentation using deep convolutional neural network
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 …
fingerprints from an irrelevant background in the latent fingerprint image which is of poor …
A comparative study on scanned fingerprint after applying lubricants and without scanned fingerprint on porous surface;(white paper)
Specialists have concocted various ways for recognizing inert fingerprints on crime
locations. The powder method is an exceptionally basic way of developing fingerprints …
locations. The powder method is an exceptionally basic way of developing fingerprints …
Voting-ensemble classification for email spam detection
N Nisar, N Rakesh, M Chhabra - … International Conference on …, 2021 - ieeexplore.ieee.org
On the Internet, e-mail spam continues to become an issue. Spam messages usually contain
several duplications of the same text, advertising content and other meaningless documents …
several duplications of the same text, advertising content and other meaningless documents …
Intelligent optimization of latent fingerprint image segmentation using stacked convolutional autoencoder
In recent times, image forensics have contributed to multiple research areas like latent
fingerprint forensics. Latent fingerprint forensics is performed by law enforcement agencies …
fingerprint forensics. Latent fingerprint forensics is performed by law enforcement agencies …
Fingerprint image enhancement for crime detection using deep learning
K Anusha, PV Siva Kumar - … of the International Conference on Cognitive …, 2023 - Springer
Fingerprint has been most popularly used in many commercial applications for person
identification. Latent fingerprints are produced largely via the finger sweat or oil left outs by …
identification. Latent fingerprints are produced largely via the finger sweat or oil left outs by …
[PDF][PDF] Review on email spam filtering techniques
N Nisar, N Rakesh, M Chhabra - International Journal of …, 2021 - ijpe-online.com
A huge increase in the number of spam emails has led to the requirement for the evolution of
more reliable and robust anti-spam techniques or filters that are utilized for preventing these …
more reliable and robust anti-spam techniques or filters that are utilized for preventing these …
[PDF][PDF] Ateb-Gabor Filtering Simulation for Biometric Protection Systems.
M Nazarkevych, A Marchuk, L Vysochan, Y Voznyi… - CPITS, 2020 - ceur-ws.org
Personal authentication by fingerprint recognition depends on the correct identification of
characteristic points of biometric images. This paper presents a scheme for identifying …
characteristic points of biometric images. This paper presents a scheme for identifying …
Cement Strength Prediction using Regression Techniques
One of the primary structural materials in the development business is concrete.
Compressive strength is the most frequently utilized metric when assessing the strength and …
Compressive strength is the most frequently utilized metric when assessing the strength and …
Boosting the classification performance of latent fingerprint segmentation using cascade of classifiers
Segmentation and classification of latent fingerprints is a young challenging area of
research. Latent fingerprints are unintentional fingermarks. These marks are ridge patterns …
research. Latent fingerprints are unintentional fingermarks. These marks are ridge patterns …
Fingerprint Classification Based on the Henry System via ResNet
JWM de Souza, AG Medeiros, GB Holanda… - … Conference on Systems …, 2021 - Springer
Fingerprints are widely used for biometric validation worldwide. Since human fingerprints
are unique and remain constant over time, it provides an easy-to-use, reliable, and …
are unique and remain constant over time, it provides an easy-to-use, reliable, and …