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 …
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 …
personal verification in many daily applications, automatic signature verification is being …
Learning features for offline handwritten signature verification using deep convolutional neural networks
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 …
of skilled forgeries, where a forger has access to a person's signature and deliberately …
Roomnet: End-to-end room layout estimation
CY Lee, V Badrinarayanan… - Proceedings of the …, 2017 - openaccess.thecvf.com
This paper focuses on the task of room layout estimation from a monocular RGB image. Prior
works break the problem into two sub-tasks: semantic segmentation of floor, walls, ceiling to …
works break the problem into two sub-tasks: semantic segmentation of floor, walls, ceiling to …
Off-line signature verification based on grey level information using texture features
A method for conducting off-line handwritten signature verification is described. It works at
the global image level and measures the grey level variations in the image using statistical …
the global image level and measures the grey level variations in the image using statistical …
Offline signature verification using a region based deep metric learning network
L Liu, L Huang, F Yin, Y Chen - Pattern Recognition, 2021 - Elsevier
Handwritten signature verification is a widely used biometric for person identity
authentication in document forensics. Despite the tremendous efforts in past research, offline …
authentication in document forensics. Despite the tremendous efforts in past research, offline …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
Fixed-sized representation learning from offline handwritten signatures of different sizes
Methods for learning feature representations for offline handwritten signature verification
have been successfully proposed in recent literature, using deep convolutional neural …
have been successfully proposed in recent literature, using deep convolutional neural …
Large-scale offline signature recognition via deep neural networks and feature embedding
Although there have been several developments in offline signature recognition, there is still
no much focus on the recognition problem using a small sample size for the training. In …
no much focus on the recognition problem using a small sample size for the training. In …
[Retracted] Deformation Adjustment with Single Real Signature Image for Biometric Verification Using CNN
R Kumar, M Saraswat, D Ather… - Computational …, 2022 - Wiley Online Library
Signature verification is the widely used biometric verification method for maintaining
individual privacy. It is generally used in legal documents and in financial transactions. A …
individual privacy. It is generally used in legal documents and in financial transactions. A …