Visibility graph for time series prediction and image classification: a review
The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …
widespread applications. In the past few decades, many approaches have been developed …
A Recurrent Neural Network based deep learning model for offline signature verification and recognition system
R Ghosh - Expert Systems with Applications, 2021 - Elsevier
With the recent advancement in information technology field, the demand to develop a
person authentication system through verifying their offline signatures is gradually …
person authentication system through verifying their offline signatures is gradually …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
Writer independent handwritten signature verification on multi-scripted signatures using hybrid CNN-BiLSTM: A novel approach
T Longjam, DR Kisku, P Gupta - Expert Systems with Applications, 2023 - Elsevier
Authenticating important documents by identifying individuals using handwritten signatures
make signature verification a critical task. Interpersonal similarity and intrapersonal variation …
make signature verification a critical task. Interpersonal similarity and intrapersonal variation …
AVN: An adversarial variation network model for handwritten signature verification
H Li, P Wei, P Hu - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Handwritten signature verification is a crucial yet challenging problem. While previous
studies have made great progress in this problem, they learn signature features passively …
studies have made great progress in this problem, they learn signature features passively …
Offline signature verification system: a graph neural network based approach
Recent years have witnessed the surge of graph neural networks (GNNs) in various
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
Fc-resnet: A multilingual handwritten signature verification model using an improved resnet with cbam
Y Muhtar, M Muhammat, N Yadikar, A Aysa, K Ubul - Applied Sciences, 2023 - mdpi.com
Offline signature verification is a widely used biometric method in finance, law, and
administrative procedures. However, existing deep convolutional neural network models …
administrative procedures. However, existing deep convolutional neural network models …
Boosting short term electric load forecasting of high & medium voltage substations with visibility graphs and graph neural networks
N Giamarelos, EN Zois - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Modern power grids are faced with a series of challenges, such as the ever-increasing
demand for renewable energy sources, extensive urbanization, climate and energy crisis …
demand for renewable energy sources, extensive urbanization, climate and energy crisis …
A new synthetic feature generation scheme based on artificial immune systems for robust offline signature verification
Identity verification based on offline handwritten signatures is required in various financial
and administrative domains using paper documents. Commonly, the performance of …
and administrative domains using paper documents. Commonly, the performance of …
Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification
The human handwritten signature is considered to be a significant biometric trait. In the case
of offline signatures, the problem is addressed as an image recognition task. On the other …
of offline signatures, the problem is addressed as an image recognition task. On the other …