Offline handwritten signature verification—Literature review

LG Hafemann, R Sabourin… - … conference on image …, 2017 - ieeexplore.ieee.org
The area of Handwritten Signature Verification has been broadly researched in the last
decades, but remains an open research problem. The objective of signature verification …

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 …

Learning features for offline handwritten signature verification using deep convolutional neural networks

LG Hafemann, R Sabourin, LS Oliveira - Pattern Recognition, 2017 - Elsevier
Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …

Handwritten signature verification using deep learning

E Alajrami, BAM Ashqar, BS Abu-Nasser, AJ Khalil… - 2020 - philpapers.org
Every person has his/her own unique signature that is used mainly for the purposes of
personal identification and verification of important documents or legal transactions. There …

A Recurrent Neural Network based deep learning model for offline signature verification and recognition system

R Ghosh - Expert Systems with Applications, 2021 - Elsevier
With the recent advancement in information technology field, the demand to develop a
person authentication system through verifying their offline signatures is gradually …

Offline geometric parameters for automatic signature verification using fixed-point arithmetic

MA Ferrer, JB Alonso… - IEEE transactions on …, 2005 - ieeexplore.ieee.org
This paper presents a set of geometric signature features for offline automatic signature
verification based on the description of the signature envelope and the interior stroke …

Offline signature recognition and forgery detection using deep learning

J Poddar, V Parikh, SK Bharti - Procedia Computer Science, 2020 - Elsevier
Authentication plays a very important role to manage security. In the modern era, it is one, in
all the priorities. With the appearance of technology, the interaction with machines is turning …

A comparison of SVM and HMM classifiers in the off-line signature verification

EJR Justino, F Bortolozzi, R Sabourin - Pattern recognition letters, 2005 - Elsevier
The SVM is a new classification technique in the field of statistical learning theory which has
been applied with success in pattern recognition applications like face and speaker …

Off-line signature verification using DTW

AP Shanker, AN Rajagopalan - Pattern recognition letters, 2007 - Elsevier
In this paper, we propose a signature verification system based on Dynamic Time Warping
(DTW). The method works by extracting the vertical projection feature from signature images …

Off-line signature verification using HMM for random, simple and skilled forgeries

EJR Justino, F Bortolozzi… - Proceedings of Sixth …, 2001 - ieeexplore.ieee.org
The problem of signature verification is in theory a pattern recognition task used to
discriminate two classes, original and forgery signatures. Even after many efforts in order to …