Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
Siamese convolutional neural network-based twin structure model for independent offline signature verification
One of the toughest biometrics and document forensics problems is confirming a signature's
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
A review of signature recognition using machine learning
EA Soelistio, REH Kusumo, ZV Martan… - 2021 1st International …, 2021 - ieeexplore.ieee.org
Signatures have been used for years for transactions and consenting to responsibilities. Yet,
online or offline, signatures can easily be falsified as there are no security measures in place …
online or offline, signatures can easily be falsified as there are no security measures in place …
Deep learning-based data augmentation method and signature verification system for offline handwritten signature
Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …
most significant limitations of the handwritten signature verification problem is inadequate …
[HTML][HTML] Writer-independent signature verification; Evaluation of robotic and generative adversarial attacks
Forgery of a signature with the aim of deception is a serious crime. Machine learning is often
employed to detect real and forged signatures. In this study, we present results which argue …
employed to detect real and forged signatures. In this study, we present results which argue …
Offline signature identification and verification using capsule network
D Gumusbas, T Yildirim - 2019 IEEE international symposium …, 2019 - ieeexplore.ieee.org
In offline signature identification and verification systems, hand-crafted feature extraction
methods, such as local binary patterns, have recently been set aside for automatic feature …
methods, such as local binary patterns, have recently been set aside for automatic feature …
A new synthetic feature generation scheme based on artificial immune systems for robust offline signature verification
Identity verification based on offline handwritten signatures is required in various financial
and administrative domains using paper documents. Commonly, the performance of …
and administrative domains using paper documents. Commonly, the performance of …
A comprehensive study on offline signature verification
Handwritten Signatures are special types of behavioural biometric which are used in many
applications such as banks, credit cards, passport, check processing, and financial …
applications such as banks, credit cards, passport, check processing, and financial …
[PDF][PDF] Off Sig-Sin GAN: A Deep Learning-Based Image Augmentation Model for Offline Signature Verification
Offline signature verification (OfSV) is essential in preventing the falsification of documents.
Deep learning (DL) based OfSVs require a high number of signature images to attain …
Deep learning (DL) based OfSVs require a high number of signature images to attain …
Performance comparison of convolutional neural network models on GPU
Deep learning methods are used in many popular areas such: image processing, computer
vision, autonomous vehicles, character recognition, audio and video processing. These …
vision, autonomous vehicles, character recognition, audio and video processing. These …