Offline handwritten signature verification—Literature review
LG Hafemann, R Sabourin… - … conference on image …, 2017 - ieeexplore.ieee.org
The area of Handwritten Signature Verification has been broadly researched in the last
decades, but remains an open research problem. The objective of signature verification …
decades, but remains an open research problem. The objective of signature verification …
Signature identification and verification techniques: state-of-the-art work
Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …
identification. Signatures can be considered as authentication of an individual by the …
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 …
A Recurrent Neural Network based deep learning model for offline signature verification and recognition system
R Ghosh - Expert Systems with Applications, 2021 - Elsevier
With the recent advancement in information technology field, the demand to develop a
person authentication system through verifying their offline signatures is gradually …
person authentication system through verifying their offline signatures is gradually …
A framework for offline signature verification system: Best features selection approach
Biometric verification is a method of identifying the persons by their individualities or traits.
Signature verification is the most generally used biometric to maintain human privacy. It is …
Signature verification is the most generally used biometric to maintain human privacy. It is …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
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 …
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 …
Score level fusion of classifiers in off-line signature verification
MB Yılmaz, B Yanıkoğlu - Information Fusion, 2016 - Elsevier
Offline signature verification is a task that benefits from matching both the global shape and
local details; as such, it is particularly suitable to a fusion approach. We present a system …
local details; as such, it is particularly suitable to a fusion approach. We present a system …
Fixed-sized representation learning from offline handwritten signatures of different sizes
Methods for learning feature representations for offline handwritten signature verification
have been successfully proposed in recent literature, using deep convolutional neural …
have been successfully proposed in recent literature, using deep convolutional neural …