Improving automated latent fingerprint detection and segmentation using deep convolutional neural network

M Chhabra, KK Ravulakollu, M Kumar… - Neural Computing and …, 2023 - Springer
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 …

A comparative study on scanned fingerprint after applying lubricants and without scanned fingerprint on porous surface;(white paper)

V Aseri, V Nagar, V Godara, PP Pandit… - Materials Today …, 2022 - Elsevier
Specialists have concocted various ways for recognizing inert fingerprints on crime
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 …

Intelligent optimization of latent fingerprint image segmentation using stacked convolutional autoencoder

C Megha, SM Kumar, RK Kumar - International Journal of …, 2021 - ijpe-online.com
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 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 …

[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 …

[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 …

Cement Strength Prediction using Regression Techniques

R Dewan, R Polishetty, B Sharan… - … on Computing for …, 2023 - ieeexplore.ieee.org
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 …

Boosting the classification performance of latent fingerprint segmentation using cascade of classifiers

M Chhabra, MK Shukla… - Intelligent Decision …, 2020 - content.iospress.com
Segmentation and classification of latent fingerprints is a young challenging area of
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 …