One Shot Verification of Handwritten Signatures using Siamese Networks

T Jambhale, L Sharma, P Narayan… - … on Advances in …, 2021 - ieeexplore.ieee.org
In the real world, banks have always required a handwritten signature while creating a new
account, signing cheques or any other official document. But they never really verify if the …

From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification

D Tsourounis, I Theodorakopoulos, EN Zois… - Expert Systems with …, 2022 - Elsevier
Handwritten signature is a common biometric trait, widely used for confirming the presence
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …

MMHSV: A Multimodal Handwritten Signature Verification Fusing Dynamic and Static Feature

Q Li, Z Wang, L Jin, N Yadikar… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
In recent years, significant progress has been made in the field of handwritten signature
verification through methods based on deep learning. However, due to the high intra-class …

Multi-path siamese convolution network for offline handwritten signature verification

X Zhang, Z Wu, L Xie, Y Li, F Li, J Zhang - Proceedings of the 2022 8th …, 2022 - dl.acm.org
The existing methods are difficult to maintain the balance of high accuracy and low model
capacity for writer-independent offline signature verification. Thus, this paper developed a …

Handwritten Signature Authenticity Recognition Model Based on Cross-Path Attention Module

L Ji, H Wang, J Hou, Z Chen, Z Li - Available at SSRN 4686027 - papers.ssrn.com
An increasing number of criminals are resorting to forged signatures for executing illegal
and criminal activities. This poses significant challenges and threats to both business …

Fc-resnet: A multilingual handwritten signature verification model using an improved resnet with cbam

Y Muhtar, M Muhammat, N Yadikar, A Aysa, K Ubul - Applied Sciences, 2023 - mdpi.com
Offline signature verification is a widely used biometric method in finance, law, and
administrative procedures. However, existing deep convolutional neural network models …

Analyzing features learned for offline signature verification using deep cnns

LG Hafemann, R Sabourin… - 2016 23rd international …, 2016 - ieeexplore.ieee.org
Research on Offline Handwritten Signature Verification explored a large variety of
handcrafted feature extractors, ranging from graphology, texture descriptors to interest …

[引用][C] Offline Handwritten Signature Verification Based on the One Class Symbolic Data Analysis Classifier for Reduced Reference Signatures

MA Djoudjai, Y Chibani, A Hafiane - Available at SSRN 4203430

Signature verification by multi-size assembled-attention with the backbone of swin-transformer

J Chu, W Zhang, Y Zheng, R Ahmad - 2023 - researchsquare.com
Handwritten signature verification is an indispensable means of identification in biometric
information recognition and has broad application prospects and research significance in …

[PDF][PDF] Off line signature verification using transfer learning and data Augmentation on Imbalanced Dataset

A Mitchell, E Edbert, GN Elwirehardja… - ICIC Express …, 2023 - researchgate.net
Handwritten signature verification has attracted a lot of attention in recent years for
authentication purposes and yet, it is still prone to mistakes of human error. Thus, with the …