Automated signature inspection and forgery detection utilizing VGG-16: a deep convolutional neural network

R Dash, M Bag, D Pattnayak… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
With the growing usage of handwritten signatures in legal documents and financial
transactions, it is crucial to select an efficient technique for validating these signatures and …

A Unique Approach to Efficient Fraudulent Signature Detection Using Deep Convolutional Neural Network, Xception, and EfficientNet

S Lodha, H Malani - … on Artificial Intelligence and Virtual Reality …, 2022 - ieeexplore.ieee.org
Signatures act as the key to the validation of important documents, both in offline and
digitized forms. This also means that forged signatures are vastly used to commit fraud. With …

Offline signature verification using pre-trained deep convolutional neural network

SD Bhavani, RK Bharathi, RJ Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
Handwritten signature is the most commonly employed behavioral biometric in financial, and
legal institutions. Because of its simplicity, forgers may easily counterfeit signatures and …

Supervised neural network for offline forgery detection of handwritten signature

S Summra, MG Usman… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Authorized high security systems for legal contracts is need of the hour for an automatic
authentication system. This study investigates the off-line signature verification system to …

Handwritten signature verification using deep learning technique in conjunction with image processing

M Bajpai - 2022 - norma.ncirl.ie
Handwritten signatures have been used in financial and legal documents for a long time. It is
crucial in the financial sector to distinguish between authentic handwritten signatures and …

Handwritten signature forgery detection using Deep Neural Network

M Bag, R Dash, D Pattnayak… - … in Advances in Power …, 2023 - ieeexplore.ieee.org
A common biometric for establishing a person's identity in document forensics is verification
of handwritten signatures. Signature plays an important role in banking, financial …

[PDF][PDF] Handwritten Signatures Forgery Detection Using Pre-Trained Deep Learning Methods

N Ebrahimpour - International Congress of New Horizons in …, 2023 - researchgate.net
Handwritten signature recognition (HSR) is crucial in various applications, such as
document verification, authentication, financial transactions, banking transactions, and legal …

An offline signature verification and forgery detection method based on a single known sample and an explainable deep learning approach

HH Kao, CY Wen - Applied Sciences, 2020 - mdpi.com
Featured Application This deep learning-based method is useful in the computer-aided
detection of forgery signatures by using a single known genuine sample. Abstract Signature …

Advancing Handwritten Signature Verification Through Deep Learning: A Comprehensive Study and High-Precision Approach

AA Abdirahma, AO Hashi, MA Elmi… - International …, 2024 - repository.simad.edu.so
This paper presents a comprehensive study on handwritten signature verification using
deep learning techniques. This research aims to address the challenges of offline signature …

Convolutional neural network enhancement for mobile application of offline handwritten signature verification

WM Fatihia, A Fariza, T Karlita - … Computing Electronics and …, 2024 - telkomnika.uad.ac.id
The increase in signature forgery cases can be attributed to the escape of forged signatures
from manual signature verification systems. Researchers have developed various machine …