[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 …

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 …

Handwritten Signature Identification and Fraud Detection using Deep Learning and Computer Vision

B Vinod, AMS Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Secure authentication plays a major role in ensuring the identity of a person. Everyone has
an individual and unique signature, which is used as their personal identification in all their …

Mobile Based Offline Handwritten Signature Forgery Identification using Convolutional Neural Network

A Fariza, A Basofi - 2021 International Electronics …, 2021 - ieeexplore.ieee.org
A signature is one of the official biometric identification media that has special characteristics
that are difficult to distinguish just by comparing with existing signatures. This causes …

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 …

A Learning-Based Intelligent Method for Signature Forgery Detection Using Pre-Trained Deep Models

N Shirisha, VP Pranitha, A Balaram… - … on Intelligent Cyber …, 2024 - ieeexplore.ieee.org
Signature of a person can uniquely identify the person and it is widely used in social
situations and monetary transactions with individuals and financial entities. Many fraud …

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 …

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 …

Handwritten Signature Forgery Detection Using PCA and Boruta Feature Selection

OM Malallah - 2022 4th International Conference on Advanced …, 2022 - ieeexplore.ieee.org
Despite the development of identity detection using biometrics in the field of financial
transactions, the handwritten signature remains the most commonly used to this day. The …

Signature Authenticity Verification Using a Cross-Path Four-Stream Network for Preventing Disguising Frauds

L Ji, H Wang, J Hou, Z Chen, Z Li - Available at SSRN 4791156 - papers.ssrn.com
An increasing number of disguising frauds are resorting to forged signatures. This poses
significant challenges and threats to both business operations and personal privacy. The …