Offline handwritten signature verification and recognition based on deep transfer learning
A Foroozandeh, AA Hemmat… - … Conference on Machine …, 2020 - ieeexplore.ieee.org
Recently, deep convolutional neural networks have been successfully applied in different
fields of computer vision and pattern recognition. Offline handwritten signature is one of the …
fields of computer vision and pattern recognition. Offline handwritten signature is one of the …
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach
Handwritten signature verification poses a formidable challenge in biometrics and document
authenticity. The objective is to ascertain the authenticity of a provided handwritten …
authenticity. The objective is to ascertain the authenticity of a provided handwritten …
A comprehensive study on offline signature verification
Handwritten Signatures are special types of behavioural biometric which are used in many
applications such as banks, credit cards, passport, check processing, and financial …
applications such as banks, credit cards, passport, check processing, and financial …
Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
Writer independent handwritten signature verification on multi-scripted signatures using hybrid CNN-BiLSTM: A novel approach
T Longjam, DR Kisku, P Gupta - Expert Systems with Applications, 2023 - Elsevier
Authenticating important documents by identifying individuals using handwritten signatures
make signature verification a critical task. Interpersonal similarity and intrapersonal variation …
make signature verification a critical task. Interpersonal similarity and intrapersonal variation …
[PDF][PDF] Unreadable offline handwriting signature verification based on generative adversarial network using lightweight deep learning architectures
Today, it is known that there are great difficulties and problems in signature and signature
examinations, which have a very important place in both our private life and business and …
examinations, which have a very important place in both our private life and business and …
DWSCNN Online Signature Verification Algorithm
Z Chen, J Zheng, L Huang… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Signature verification has always been a hot topic in biometrics field. Recent advancements
in signature verification have been greatly influenced by deep learning technologies …
in signature verification have been greatly influenced by deep learning technologies …
Offline handwritten signature forgery verification using deep learning methods
Offline signature verification is one of the most challenging tasks in biometric authentication.
Despite recent advances in this field using image recognition and deep learning, there are …
Despite recent advances in this field using image recognition and deep learning, there are …
Convolutional neural network enhancement for mobile application of offline handwritten signature verification
WM Fatihia, A Fariza, T Karlita - … Computing Electronics and …, 2024 - telkomnika.uad.ac.id
The increase in signature forgery cases can be attributed to the escape of forged signatures
from manual signature verification systems. Researchers have developed various machine …
from manual signature verification systems. Researchers have developed various machine …
Learning features for offline handwritten signature verification using deep convolutional neural networks
Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …
of skilled forgeries, where a forger has access to a person's signature and deliberately …