[PDF][PDF] Offline Handwritten Signature Identification based on Hybrid Features and Proposed Deep Model

Z Hashim, H Mohsin, A Alkhayyat - Iraqi Journal For Computer Science and …, 2024 - iasj.net
Handwritten signature identification is the process of determining an individual's true identity
by analyzing their signature. This is an important task in various applications such as …

[PDF][PDF] Handwritten Signature Identification Based on Hybrid Features and Machine Learning Algorithms

Z Hashim, H Mohsin, A Alkhayyat - IRAQI JOURNAL OF COMPUTERS …, 2024 - iasj.net
Handwritten signature identification is a process that determines an individual's true identity
by analyzing their signature. This is an important task in various applications such as …

A comprehensive study on offline signature verification

N Sharma, S Gupta, P Mehta - Journal of Physics: conference …, 2021 - iopscience.iop.org
Handwritten Signatures are special types of behavioural biometric which are used in many
applications such as banks, credit cards, passport, check processing, and 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 …

Offline handwritten signature recognition using deep convolution neural network

QS Mosaher, M Hasan - European Journal of Engineering and …, 2022 - ej-eng.org
In the modern age, technological advancement reached a new limit where authentication
plays a vital role in security management. Biometric-based authentication is the most …

[PDF][PDF] Handwritten Signature Verification Method Using Convolutional Neural Network

WYA AlKarem, ET Khalid, KH Ali - 2024 - ijeee.edu.iq
Automatic signature verification methods play a significant role in providing a secure and
authenticated handwritten signature in many applications, to prevent forgery problems …

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 …

Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach

F Ozyurt, J Majidpour, TA Rashid, C Koc - arXiv preprint arXiv:2401.09467, 2024 - arxiv.org
Handwritten signature verification poses a formidable challenge in biometrics and document
authenticity. The objective is to ascertain the authenticity of a provided handwritten …

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 …

A Survey of Offline Handwritten Signature Verification Based on Deep Learning

Y Muhtar, W Kang, A Rexit, K Ubul - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Handwritten signatures are biometrics and a point of contention in the scientific community,
the process used to verify whether a person's signature is genuine. In the past ten years, the …