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Signature identification and verification techniques: state-of-the-art work
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 …
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 …
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 …
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
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 …
[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 …
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 …
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 …
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
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 …
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
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 …
identification and digital forensics. Owing to large intra-individual variability, there is a critical …
A stroke-based RNN for writer-independent online signature verification
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 …
signature in a writer-independent scenario. In recent years, many researchers have been …