Offline signature verification using deep learning convolutional neural network (CNN) architectures GoogLeNet inception-v1 and inception-v3
Biometric systems such as signature verification are highly viable in order to identify
individuals in organizations or in finance divisions. Advancement in classification of images …
individuals in organizations or in finance divisions. Advancement in classification of images …
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 …
Handwritten signature verification using shallow convolutional neural network
Handwritten signatures are an undeniable and unique way to prove the identity of persons.
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and capsule neural networks
Offline Signature verification is a biometric method with important applications in financial,
legal and administrative procedures. The verification process includes comparing the …
legal and administrative procedures. The verification process includes comparing the …
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 …
personal identification and verification of important documents or legal transactions. There …
Verification of genuine and forged offline signatures using Siamese Neural Network (SNN)
Deep learning plays very important role in almost all domains and application areas of AI
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …
An offline signature verification and forgery detection method based on a single known sample and an explainable deep learning approach
HH Kao, CY Wen - Applied Sciences, 2020 - mdpi.com
Featured Application This deep learning-based method is useful in the computer-aided
detection of forgery signatures by using a single known genuine sample. Abstract Signature …
detection of forgery signatures by using a single known genuine sample. Abstract Signature …
From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification
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 …
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …
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] Persian signature verification using convolutional neural networks
H Khalajzadeh, M Mansouri… - International Journal of …, 2012 - academia.edu
The style of people's handwritten signature is a biometric feature used in person
authentication. In this paper, an offline signature verification scheme based on …
authentication. In this paper, an offline signature verification scheme based on …