Automatic signature verification: The state of the art
D Impedovo, G Pirlo - IEEE Transactions on Systems, Man, and …, 2008 - ieeexplore.ieee.org
In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …
personal verification in many daily applications, automatic signature verification is being …
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 …
A framework for offline signature verification system: Best features selection approach
Biometric verification is a method of identifying the persons by their individualities or traits.
Signature verification is the most generally used biometric to maintain human privacy. It is …
Signature verification is the most generally used biometric to maintain human privacy. It is …
Markov models for offline handwriting recognition: a survey
Since their first inception more than half a century ago, automatic reading systems have
evolved substantially, thereby showing impressive performance on machine-printed text …
evolved substantially, thereby showing impressive performance on machine-printed text …
The password is dead, long live the password–A laboratory study on user perceptions of authentication schemes
V Zimmermann, N Gerber - International Journal of Human-Computer …, 2020 - Elsevier
Password authentication is still ubiquitous although alternatives have been developed to
overcome its shortcomings such as high cognitive load for users. Using an objective rating …
overcome its shortcomings such as high cognitive load for users. Using an objective rating …
Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers
In this work we address two important issues of off-line signature verification. The first one
regards feature extraction. We introduce a new graphometric feature set that considers the …
regards feature extraction. We introduce a new graphometric feature set that considers the …
Online signature verification and recognition: An approach based on symbolic representation
DS Guru, HN Prakash - IEEE transactions on pattern analysis …, 2008 - ieeexplore.ieee.org
In this paper, we propose a new method of representing on-line signatures by interval
valued symbolic features. Global features of on-line signatures are used to form an interval …
valued symbolic features. Global features of on-line signatures are used to form an interval …
Offline signature verification using classifier combination of HOG and LBP features
We present an offline signature verification system based on a signature's local histogram
features. The signature is divided into zones using both the Cartesian and polar coordinate …
features. The signature is divided into zones using both the Cartesian and polar coordinate …
Image-based handwritten signature verification using hybrid methods of discrete radon transform, principal component analysis and probabilistic neural network
Image-based handwritten signature verification is important in most of the financial
transactions when a hard copy of signature is needed. Considering the lack of dynamic …
transactions when a hard copy of signature is needed. Considering the lack of dynamic …
Deep learning-based dental implant recognition using synthetic X-ray images
A Kohlakala, J Coetzer, J Bertels… - Medical & Biological …, 2022 - Springer
A novel algorithm for generating artificial training samples from triangulated three-
dimensional (3D) surface models within the context of dental implant recognition is …
dimensional (3D) surface models within the context of dental implant recognition is …