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A hybrid machine learning framework for offline signature verification using gray wolf optimization [PDF]

open access: yesScientific Reports
Handwritten signature verification is one of the frequently used biometric in administrative, financial, legal, and similar scenarios to verify the identity of a person.
Nemi Chandra Rathore   +4 more
doaj   +2 more sources

Learning features for offline handwritten signature verification using spatial transformer network [PDF]

open access: yesScientific Reports
Offline handwritten signatures are one of the most common and widely accepted symbols in the field of biometrics and document forensics, and they are frequently used for daily attendance checks, credit card payments, and business contracts to verify an ...
Wanghui Xiao, Hao Wu
doaj   +2 more sources

A Survey of Offline Handwriting Signature Verification

open access: yesAl-Kitab Journal for Pure Sciences
Each individual possesses a unique signature that is primarily employed to verify personal identity and authenticate legally binding documents or facilitate significant transactions, a method commonly utilized for verifying their identity.
Jihad Majeed Nori, Asim M. Murshid
doaj   +2 more sources

Offline Signature Verification System Based on the Online Data

open access: yesEURASIP Journal on Advances in Signal Processing, 2008
Most of the signature verification work done in the past years focused either on offline or online approaches. In this paper, a different methodology is proposed, where the online reference data acquired through a digitizing tablet serves as the basis ...
Lee Luan Ling, Alessandro Zimmer
doaj   +3 more sources

Offline Signature Verification Using Image Processing [PDF]

open access: yesE3S Web of Conferences, 2023
A person’s signature is merely a handwritten sign that closely resembles his/her name, frequently stylized and distinctive, and that expresses the person’s identity, intent, and consent. Two types of verifications are present.
Shaik Bushra   +3 more
doaj   +1 more source

Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2020
Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet ...
Atefeh Foroozandeh   +2 more
doaj   +1 more source

Offline handwritten signature verification using various Machine Learning Algorithms [PDF]

open access: yesITM Web of Conferences, 2021
In today’s world it is necessary to protect one’s authenticity in order to ensure the protection of personal information that only the authenticate credentials of a person can have access to.
Lokare Chinmay   +4 more
doaj   +1 more source

Handwritten Signature Verification Method Based on Improved Combined Features

open access: yesApplied Sciences, 2021
As a behavior feature, handwritten signatures are widely used in financial and administrative institutions. The appearance of forged signatures will cause great property losses to customers. This paper proposes a handwritten signature verification method
Yiwen Zhou   +3 more
doaj   +1 more source

FC-ResNet: A Multilingual Handwritten Signature Verification Model Using an Improved ResNet with CBAM

open access: yesApplied Sciences, 2023
Offline signature verification is a widely used biometric method in finance, law, and administrative procedures. However, existing deep convolutional neural network models perform poorly on signature datasets that span different regions and ethnic people,
Yusnur Muhtar   +4 more
doaj   +1 more source

Offline Handwritten Signature Verification Using Deep Neural Networks

open access: yesEnergies, 2022
Prior to the implementation of digitisation processes, the handwritten signature in an attendance sheet was the preferred way to prove the presence of each student in a classroom.
José A. P. Lopes   +3 more
doaj   +1 more source

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