Deep learning for biometrics: A survey
K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …
supervised learning tasks in multiple domains including computer vision, natural language …
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 …
Dynamic signature verification system based on one real signature
The dynamic signature is a biometric trait widely used and accepted for verifying a person's
identity. Current automatic signature-based biometric systems typically require five, ten, or …
identity. Current automatic signature-based biometric systems typically require five, ten, or …
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 …
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 …
Signature verification based on the kinematic theory of rapid human movements
A Fischer, R Plamondon - IEEE Transactions on Human …, 2016 - ieeexplore.ieee.org
When using tablet computers, smartphones, or digital pens, human users perform
movements with a stylus or their fingers that can be analyzed by the kinematic theory of …
movements with a stylus or their fingers that can be analyzed by the kinematic theory of …
A novel biometric system for signature verification based on score level fusion approach
The active modality of handwriting is broadly related to signature verification in the context of
biometric user authentication systems. Signature verification aims to verify a questioned …
biometric user authentication systems. Signature verification aims to verify a questioned …
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 …
Information divergence-based matching strategy for online signature verification
The phenomenon of data clutter caused by intervariability (individual features) and
intravariability (intrinsic noise of reference samples) is one of the most important reasons for …
intravariability (intrinsic noise of reference samples) is one of the most important reasons for …
A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach
FM Alsuhimat, FS Mohamad - IEEE Access, 2023 - ieeexplore.ieee.org
The offline signature verification system's feature extraction stage is regarded as crucial and
has a significant impact on how well these systems perform because the quantity and …
has a significant impact on how well these systems perform because the quantity and …