Advances in Offline Handwritten Signature Recognition Research: A Review
IEEE Access, 2023 A person’s handwritten signature, one of the methods frequently used to confirm their identity, is used exclusively to confirm the biometric identification of different financial, legal, banking, insurance, and other business documents.
Aysa Alimjan +2 more
exaly +4 more sources
Learning features for offline handwritten signature verification using spatial transformer network [PDF]
Scientific ReportsOffline 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 +3 more sources
Offline Handwritten Signature Verification Using Deep Neural Networks [PDF]
Energies, 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.
Lavado N +2 more
exaly +4 more sources
Offline handwritten signature verification using various Machine Learning Algorithms [PDF]
ITM 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 +3 more sources
Offline Signature Verification Using Image Processing [PDF]
E3S 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 +3 more sources
Handwritten Signature Verification Method Based on Improved Combined Features [PDF]
Applied 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 +2 more sources
Behavioral Biometric Data Analysis for Gender Classification Using Feature Fusion and Machine Learning [PDF]
Frontiers in Robotics and AI, 2021 Biometric security applications have been employed for providing a higher security in several access control systems during the past few years. The handwritten signature is the most widely accepted behavioral biometric trait for authenticating the ...
Shivanand S. Gornale +3 more
doaj +2 more sources
A hybrid machine learning framework for offline signature verification using gray wolf optimization [PDF]
Scientific ReportsHandwritten 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
FC-ResNet: A Multilingual Handwritten Signature Verification Model Using an Improved ResNet with CBAM [PDF]
Applied 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 +2 more sources
Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition [PDF]
Sahand 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