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 …
Online signature verification by few-shot separable convolution based deep learning
CS Vorugunti, RKS Gorthi… - … conference on document …, 2019 - ieeexplore.ieee.org
Online Signature Verification (OSV) is a widely used biometric feature for recognized and
authorized technique to authenticate a writers's distinctiveness and behavioral …
authorized technique to authenticate a writers's distinctiveness and behavioral …
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 …
A light weight and hybrid deep learning model based online signature verification
P Mukherjee, P Viswanath - 2019 International Conference …, 2019 - ieeexplore.ieee.org
The augmented usage of deep learning-based models for various AI related problems are
as a result of modern architectures of deeper length and the availability of voluminous …
as a result of modern architectures of deeper length and the availability of voluminous …
[PDF][PDF] Forensic Examination of Dynamic Signatures
In recent years, our society has rapidly evolved and been digitalized. These deep-rooted
changes affect every citizen's life, be it through government and commerce, communication …
changes affect every citizen's life, be it through government and commerce, communication …
COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning
CS Vorugunti, B Subramanian, P Mukherjee… - … Conference on Frontiers …, 2022 - Springer
Abstract Online Signature Verification (OSV) is a systematically used biometric characteristic
to endorse the genuineness of a user to access real time applications like healthcare, m …
to endorse the genuineness of a user to access real time applications like healthcare, m …
COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning
P Mukherjee, A Gautam - … 2022, Hyderabad, India, December 4–7 …, 2022 - books.google.com
Online Signature Verification (OSV) is a systematically used biometric characteristic to
endorse the genuineness of a user to access real time applications like healthcare, m …
endorse the genuineness of a user to access real time applications like healthcare, m …
Online Signature Verification Using Deep Learning Approach
With the advent of advanced technology and its availability at a low price nowadays the
biometric verification is getting a common method of person authentication. Online signature …
biometric verification is getting a common method of person authentication. Online signature …
A Light weight and Hybrid Deep Learning Model based Online Signature Verification
A Doctor, P Mukherjee, V Pulabaigiri - arXiv preprint arXiv:1907.04061, 2019 - arxiv.org
The augmented usage of deep learning-based models for various AI related problems are
as a result of modern architectures of deeper length and the availability of voluminous …
as a result of modern architectures of deeper length and the availability of voluminous …