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 …
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 …
An efficient signature verification method based on an interval symbolic representation and a fuzzy similarity measure
In this paper, an efficient offline signature verification method based on an interval symbolic
representation and a fuzzy similarity measure is proposed. In the feature extraction step, a …
representation and a fuzzy similarity measure is proposed. In the feature extraction step, a …
Signature verification approach using fusion of hybrid texture features
In this paper, a writer-dependent signature verification method is proposed. Two different
types of texture features, namely discrete wavelet and local quantized patterns (LQP) …
types of texture features, namely discrete wavelet and local quantized patterns (LQP) …
One-class writer-independent offline signature verification using feature dissimilarity thresholding
A Hamadene, Y Chibani - IEEE Transactions on Information …, 2016 - ieeexplore.ieee.org
Usual handwritten signature verification systems address the writer-independent (WI)
approach using only bi-class robust classifiers to deal with the most challenging tasks …
approach using only bi-class robust classifiers to deal with the most challenging tasks …
Learning representations from persian handwriting for offline signature verification, a deep transfer learning approach
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially
when it is expected to generalize well on the skilled forgeries that are not available during …
when it is expected to generalize well on the skilled forgeries that are not available during …
Multi-dilation convolutional neural network for automatic handwritten signature verification
RR Upadhyay, R Mehta, KK Singh - SN Computer Science, 2023 - Springer
With the recent advancements in deep learning techniques, the application areas of
unstructured data analytics are emerging in multiple domains. One of the popular …
unstructured data analytics are emerging in multiple domains. One of the popular …
Off-line signature verification through machine learning
A Rateria, S Agarwal - 2018 5th IEEE Uttar Pradesh section …, 2018 - ieeexplore.ieee.org
Signature is a depiction of a person's name that is used as his/her identity proof, but it can be
forged. Therefore, genuineness of a signature needs to be verified. In the present paper for …
forged. Therefore, genuineness of a signature needs to be verified. In the present paper for …
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 …
capacity for writer-independent offline signature verification. Thus, this paper developed a …
Investigating the common authorship of signatures by off-line automatic signature verification without the use of reference signatures
In automatic signature verification, questioned specimens are usually compared with
reference signatures. In writer-dependent schemes, a number of reference signatures are …
reference signatures. In writer-dependent schemes, a number of reference signatures are …