Signature identification and verification techniques: state-of-the-art work

H Kaur, M Kumar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …

Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities

K Bibi, S Naz, A Rehman - Multimedia Tools and Applications, 2020 - Springer
Biometric systems are playing a key role in the multitude of applications and placed at the
center of debate in the scientific research community. Among the numerous biometric …

Time-series averaging and local stability-weighted dynamic time war** for online signature verification

M Okawa - Pattern Recognition, 2021 - Elsevier
To meet the recent demands for automated security systems, this study proposes a novel
single-template strategy that uses mean templates and local stability-weighted dynamic time …

Osvfusenet: online signature verification by feature fusion and depth-wise separable convolution based deep learning

CS Vorugunti, V Pulabaigari, RKSS Gorthi… - Neurocomputing, 2020 - Elsevier
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 …

[HTML][HTML] Interpol questioned documents review 2019–2022

M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …

[HTML][HTML] Handwritten signature verification method based on improved combined features

Y Zhou, J Zheng, H Hu, Y Wang - Applied Sciences, 2021 - mdpi.com
Featured Application This study proposes a handwritten signature verification method based
on improved combined features, which combines dynamic features and static features by …

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 …

Approximating dynamic time war** with a convolutional neural network on EEG data

H Lerogeron, R Picot-Clémente… - Pattern Recognition …, 2023 - Elsevier
Abstract Dynamic Time War** (DTW) is a widely used algorithm for measuring similarities
between two time series. It is especially valuable in a wide variety of applications, such as …

Osvnet: Convolutional siamese network for writer independent online signature verification

CS Vorugunti, P Mukherjee… - … on document analysis …, 2019 - ieeexplore.ieee.org
Online signature verification (OSV) is one of the most challenging tasks in writer
identification and digital forensics. Owing to large intra-individual variability, there is a critical …

A stroke-based RNN for writer-independent online signature verification

C Li, X Zhang, F Lin, Z Wang, L Jun'E… - 2019 international …, 2019 - ieeexplore.ieee.org
In the field of online handwritten signature verification, it is challenging to verify handwritten
signature in a writer-independent scenario. In recent years, many researchers have been …