Machine learning-based offline signature verification systems: A systematic review
The offline signatures are the most widely adopted biometric authentication techniques in
banking systems, administrative and financial applications due to its simplicity and …
banking systems, administrative and financial applications due to its simplicity and …
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 …
Combining graph edit distance and triplet networks for offline signature verification
Offline signature verification is a challenging pattern recognition task where a writer model is
inferred using only a small number of genuine signatures. A combination of complementary …
inferred using only a small number of genuine signatures. A combination of complementary …
Offline signature verification system: a graph neural network based approach
Recent years have witnessed the surge of graph neural networks (GNNs) in various
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
A new synthetic feature generation scheme based on artificial immune systems for robust offline signature verification
Identity verification based on offline handwritten signatures is required in various financial
and administrative domains using paper documents. Commonly, the performance of …
and administrative domains using paper documents. Commonly, the performance of …
Gait recognition of acceleration sensor for smart phone based on multiple classifier fusion
Z Huan, X Chen, S Lv, H Geng - Mathematical Problems in …, 2019 - Wiley Online Library
Gait, as a kind of biological feature, has a profound value in personnel identification. This
paper analyzes gait characteristics based on acceleration sensors of smart phones and …
paper analyzes gait characteristics based on acceleration sensors of smart phones and …
Dynamic and static feature fusion for increased accuracy in signature verification
The success rate in offline signature verification studies has reached high and limiting levels
recently. However, any increase in this performance is and will be highly valuable in terms of …
recently. However, any increase in this performance is and will be highly valuable in terms of …
Writer identification using handwritten cursive texts and single character words
T Kutzner, CF Pazmiño-Zapatier, M Gebhard… - Electronics, 2019 - mdpi.com
One of the biometric methods in authentication systems is the writer verification/identification
using password handwriting. The main objective of this paper is to present a robust writer …
using password handwriting. The main objective of this paper is to present a robust writer …
A Genetic Algorithm Based One Class Support Vector Machine Model for Arabic Skilled Forgery Signature Verification
Recently, signature verification systems have been widely adopted for verifying individuals
based on their handwritten signatures, especially in forensic and commercial transactions …
based on their handwritten signatures, especially in forensic and commercial transactions …
Offline signature verification using convolutional neural network
Offline handwritten signature verification is widely used important form of biometrics. It is a
challenging task due to time-variant nature of signature. To address the above difficulty, a …
challenging task due to time-variant nature of signature. To address the above difficulty, a …