A perspective analysis of handwritten signature technology
Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …
community. Over the last 40 years, the interest in signature studies has grown steadily …
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 …
Handwritten signature verification using shallow convolutional neural network
Handwritten signatures are an undeniable and unique way to prove the identity of persons.
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
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 …
Verification of genuine and forged offline signatures using Siamese Neural Network (SNN)
Deep learning plays very important role in almost all domains and application areas of AI
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …
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 …
A two-tier ensemble approach for writer dependent online signature verification
Biometric verification systems are used to recognize people based on their uniqueness or
characteristics. Signature is considered as one of the most commonly used biometric that …
characteristics. Signature is considered as one of the most commonly used biometric that …
Online handwritten signature verification based on association of curvature and torsion feature with Hausdorff distance
L He, H Tan, ZC Huang - Multimedia Tools and Applications, 2019 - Springer
The paper presents an efficient on-line signature verification method based on the dynamic
features of a given signature. In the proposed approach, curvature and torsion feature are …
features of a given signature. In the proposed approach, curvature and torsion feature are …
Discriminative feature selection for on-line signature verification
On-line handwritten signatures are collected as real-time dynamical signals which are
written on collective devices by users. Since individuals have different writing habits …
written on collective devices by users. Since individuals have different writing habits …
Offline signature verification system: a graph neural network based approach
Recent years have witnessed the surge of graph neural networks (GNNs) in various
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …