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 …
Online signature verification using locally weighted dynamic time warping via multiple fusion strategies
M Okawa - IEEE Access, 2022 - ieeexplore.ieee.org
Online signature verification is the process of using a dynamic signature verification system
to confirm the writer's identity. It can be used as a security system to confirm entrance …
to confirm the writer's identity. It can be used as a security system to confirm entrance …
Signature barcodes for online verification
O Alpar - Pattern Recognition, 2022 - Elsevier
As a sub-branch of behavioral biometrics, online signature verification systems deal with
unique signing characteristics, which could be better differentiated by extraction of habitual …
unique signing characteristics, which could be better differentiated by extraction of habitual …
Anthropomorphic features for on-line signatures
Many features have been proposed in on-line signature verification. Generally, these
features rely on the position of the on-line signature samples and their dynamic properties …
features rely on the position of the on-line signature samples and their dynamic properties …
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 …
A privacy-preserving handwritten signature verification method using combinational features and secure kNN
The handwritten signature is a widely accepted biometric trait for the individual
authentication. This paper proposes a secure and dynamic signature verification method …
authentication. This paper proposes a secure and dynamic signature verification method …
Prediction of values of the dynamic signature features
This paper presents original solutions from the field of intelligent expert systems for use in
behavioral biometrics. They combine possibilities offered by biometric methods with the …
behavioral biometrics. They combine possibilities offered by biometric methods with the …
Novel fuzzy uncertainty modeling for land cover classification based on clustering analysis
H He, H Xing, D Hu, X Yu - Science China Earth Sciences, 2019 - Springer
It is well known that there is a degree of fuzzy uncertainty in land cover classification using
remote sensing (RS) images. In this article, we propose a novel fuzzy uncertainty modeling …
remote sensing (RS) images. In this article, we propose a novel fuzzy uncertainty modeling …
[HTML][HTML] A Genetic Algorithm Based One Class Support Vector Machine Model for Arabic Skilled Forgery Signature Verification
Recently, signature verification systems have been widely adopted for verifying individuals
based on their handwritten signatures, especially in forensic and commercial transactions …
based on their handwritten signatures, especially in forensic and commercial transactions …