A perspective analysis of handwritten signature technology
Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …
community. Over the last 40 years, the interest in signature studies has grown steadily …
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 …
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 …
Writer-independent feature learning for offline signature verification using deep convolutional neural networks
LG Hafemann, R Sabourin… - 2016 international joint …, 2016 - ieeexplore.ieee.org
Automatic Offline Handwritten Signature Verification has been researched over the last few
decades from several perspectives, using insights from graphology, computer vision, signal …
decades from several perspectives, using insights from graphology, computer vision, signal …
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 …
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 …
Hybrid writer‐independent–writer‐dependent offline signature verification system
Standard signature verification (SV) systems are writer‐dependent (WD), where a specific
classifier is designed for each individual. It is inconvenient to ask a user to provide enough …
classifier is designed for each individual. It is inconvenient to ask a user to provide enough …
Characterizing and evaluating adversarial examples for offline handwritten signature verification
LG Hafemann, R Sabourin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The phenomenon of adversarial examples is attracting increasing interest from the machine
learning community, due to its significant impact on the security of machine learning …
learning community, due to its significant impact on the security of machine learning …
Meta-learning for fast classifier adaptation to new users of signature verification systems
LG Hafemann, R Sabourin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Offline Handwritten Signature verification presents a challenging Pattern Recognition
problem, where only knowledge of the positive class is available for training. While …
problem, where only knowledge of the positive class is available for training. While …
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 …