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 …
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 …
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 …
DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture
Online signature verification (OSV) is a widely utilised technique in the medical, e‐
commerce and m‐commerce applications to lawfully bind the user. These high‐speed …
commerce and m‐commerce applications to lawfully bind the user. These high‐speed …
Verification of dynamic signature using machine learning approach
S Chandra - Neural Computing and Applications, 2020 - Springer
This paper presents a novel approach for dynamic signature authentication based on the
machine learning approach. In the proposed method, average values of features are taken …
machine learning approach. In the proposed method, average values of features are taken …
Survey of preprocessing techniques and classification approaches in online signature verification
This paper reviews the latest results in the field of online signature verification and
summarizes the previously published major surveys and also over 30 papers from the last …
summarizes the previously published major surveys and also over 30 papers from the last …
Online handwritten signature verification and recognition based on dual-tree complex wavelet packet transform
A Foroozandeh, AA Hemmat… - Journal of Medical Signals …, 2020 - journals.lww.com
Background: With the increasing advancement of technology, it is necessary to develop
more accurate, convenient, and cost-effective security systems. Handwriting signature, as …
more accurate, convenient, and cost-effective security systems. Handwriting signature, as …
[PDF][PDF] Amruta B. Jagtap, Dattatray D. Sawat, Rajendra S. Hegadi & Ravindra
S Hegadi - researchgate.net
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 …
A Survey of Digitized Handwritten Signature Verification System
A Rohilla, RK Bawa - The Digitalization Conundrum in India: Applications …, 2020 - Springer
In this digital world, the problem of recognizing a person is resolved by various biometric
applications. Along with various unique physical biometric patterns like face, iris …
applications. Along with various unique physical biometric patterns like face, iris …