An improved deep network-based scene classification method for self-driving cars

J Ni, K Shen, Y Chen, W Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A self-driving car is a hot research topic in the field of the intelligent transportation system,
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …

A review of signature recognition using machine learning

EA Soelistio, REH Kusumo, ZV Martan… - 2021 1st International …, 2021 - ieeexplore.ieee.org
Signatures have been used for years for transactions and consenting to responsibilities. Yet,
online or offline, signatures can easily be falsified as there are no security measures in place …

Detecting atrial fibrillation in real time based on ppg via two cnns for quality assessment and detection

DH Nguyen, PCP Chao, CC Chung… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Real-time detection of atrial fibrillation (AFib) is made possible by the quality assessment via
a 1-D convolutional neural network (1D-CNN) in a processor of a photoplethysmography …

A comprehensive study on offline signature verification

N Sharma, S Gupta, P Mehta - Journal of Physics: conference …, 2021 - iopscience.iop.org
Handwritten Signatures are special types of behavioural biometric which are used in many
applications such as banks, credit cards, passport, check processing, and financial …

TransOSV: Offline signature verification with transformers

H Li, P Wei, Z Ma, C Li, N Zheng - Pattern Recognition, 2024 - Elsevier
Signature verification is a frequently-used forensics technology in numerous safety-critical
situations. Although convolutional neural networks (CNNs) have made significant …

An algorithm for classifying handwritten signatures using convolutional networks

G Culqui-Culqui, S Sanchez-Gordon… - IEEE Latin America …, 2021 - ieeexplore.ieee.org
In this study, a model based on convolutional neural networks is proposed to quickly and
efficiently classify and identify a person's signature with over 90% accuracy. For this …

Offline handwritten signature recognition using deep convolution neural network

QS Mosaher, M Hasan - European Journal of Engineering and …, 2022 - ej-eng.org
In the modern age, technological advancement reached a new limit where authentication
plays a vital role in security management. Biometric-based authentication is the most …

Fcn+ rl: A fully convolutional network followed by refinement layers to offline handwritten signature segmentation

CAML Junior, MHM da Silva… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
Although secular, handwritten signature is one of the most reliable biometric method used
by most countries. In the last ten years, the application of technology for verification of …

Land-Cover Classification Using Deep Learning with High-Resolution Remote-Sensing Imagery

M Fayaz, J Nam, LM Dang, HK Song, H Moon - Applied Sciences, 2024 - mdpi.com
Land-area classification (LAC) research offers a promising avenue to address the intricacies
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …

[PDF][PDF] Personality identification based on handwritten signature using convolutional neural networks

MR Aulia, EC Djamal, AT Bon - Proceedings of the 5 th NA …, 2020 - ieomsociety.org
Personality is a unique thing that everyone has. Personalities show how a person acts, both
in daily life and at work. Tracking a person's personality is important for the company, many …