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 …

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 …

A Survey of Punjabi Language Translation using OCR and ML

S Khepra, P Kumari, R Gupta… - 2023 10th International …, 2023 - ieeexplore.ieee.org
The use of Natural Language Processing (NLP) in machine translation has grown in
significance as technologies as well as computers have become more prevalent in our daily …

Impact of patch-size on classification accuracy of latent fingerprint image in stacked convolutional auto-encoder based segmentation and detection

M Chhabra, MK Shukla… - … on I-SMAC (IoT in Social …, 2020 - ieeexplore.ieee.org
Latent fingerprints are (un) intentional finger skin impressions left as ridge patterns at crime
scenes. The significant challenge in latent fingerprint segmentation is extracting complex …

Improving the Efficiency of Automated Latent Fingerprint Identification Using Stack of Convolutional Auto-encoder

M Chhabra, MK Shukla… - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
In this paper, a method for improving the efficiency of latent fingerprint segmentation and
detection system is presented. Structural detection and precise segmentation of fingerprints …