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 …
online or offline, signatures can easily be falsified as there are no security measures in place …
OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning
Abstract Online Signature Verification (OSV) techniques have been deployed in production
systems for decades, yet training the model for efficient classification of the test signature …
systems for decades, yet training the model for efficient classification of the test signature …
DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture
Online signature verification (OSV) is a widely utilised technique in the medical, e‐
commerce and m‐commerce applications to lawfully bind the user. These high‐speed …
commerce and m‐commerce applications to lawfully bind the user. These high‐speed …
COMPOSV: Compound feature extraction and depthwise separable convolution-based online signature verification
Online signature verification (OSV) is a predominantly used verification framework, which is
intended to authenticate the legitimacy of a test signature by learning the writer specific …
intended to authenticate the legitimacy of a test signature by learning the writer specific …
Multi-scale residual based siamese neural network for writer-independent online signature verification
Q Shen, F Luan, S Yuan - Applied Intelligence, 2022 - Springer
How to extract effective features from a small number of signature samples provided by new
registered users and achieve high accuracy authentication is a challenge for researchers in …
registered users and achieve high accuracy authentication is a challenge for researchers in …
TSOSVNet: Teacher-student collaborative knowledge distillation for Online Signature Verification
A Gautam - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Online signature verification (OSV) is a standardized personal authentication scheme with
wide social acceptance in critical real-time applications include access control, m …
wide social acceptance in critical real-time applications include access control, m …
High discriminant features for writer-independent online signature verification
J Long, C **e, Z Gao - Multimedia Tools and Applications, 2023 - Springer
The application of online signature is promising. However, its huge intra-individual variability
and its extremely low inter-class distance brought by forged signatures make it difficult for …
and its extremely low inter-class distance brought by forged signatures make it difficult for …
Inf-Att-OSVNet: information theory based feature selection and deep attention networks for online signature verification
Abstract Online Signature Verification (OSV) is a widely adapted biometric characteristics,
that objects to determine the signature's authenticity by computing its unique features. OSV …
that objects to determine the signature's authenticity by computing its unique features. OSV …
Impact of type of convolution operation on performance of convolutional neural networks for online signature verification
An Online signature is a multivariate time series, a commonly used biometric source for user
verification. Deep learning (DL) is increasingly becoming ubiquitous as a paradigm for …
verification. Deep learning (DL) is increasingly becoming ubiquitous as a paradigm for …
OSVConTramer: A Hybrid CNN and Transformer based Online Signature Verification
The advances in Deep Learning (DL) resulted in the development Convolutional Neural
Network (CNN) and Recurrent Neural Networks (RNN) based Online Signature Verification …
Network (CNN) and Recurrent Neural Networks (RNN) based Online Signature Verification …