A comparative study among handwritten signature verification methods using machine learning techniques

Z Hashim, HM Ahmed, AH Alkhayyat - Scientific Programming, 2022 - Wiley Online Library
Nowadays, the verification of handwritten signatures has become an effective research field
in computer vision as well as machine learning. Signature verification is naturally formulated …

[HTML][HTML] Recurrent neural network for inertial gait user recognition in smartphones

P Fernandez-Lopez, J Liu-Jimenez, K Kiyokawa, Y Wu… - Sensors, 2019 - mdpi.com
In this article, a gait recognition algorithm is presented based on the information obtained
from inertial sensors embedded in a smartphone, in particular, the accelerometers and …

[HTML][HTML] Acoustic Sensing Based on Online Handwritten Signature Verification

M Chen, J Lin, Y Zou, K Wu - Sensors, 2022 - mdpi.com
Handwritten signatures are widely used for identity authorization. However, verifying
handwritten signatures is cumbersome in practice due to the dependency on extra drawing …

An introduction to biometric authentication systems

T Das, A Harshey, V Mishra, A Srivastava - Textbook of forensic science, 2023 - Springer
The science of biometric exponentially evolved since its inception. From human
identification to attendance verification in organizations, biometrics have expanded a very …

[PDF][PDF] An improved geo-textural based feature extraction vector for offline signature verification

K Gyimah, JK Appati, K Darkwah… - Journal of Advances in …, 2019 - researchgate.net
In the field of pattern recognition, automatic handwritten signature verification is of the
essence. The uniqueness of each person's signature makes it a preferred choice of human …

Personality classification from online handwritten signature using k-nearest neighbor

HT Laga, ES Pane, AD Wibawa… - … Seminar on Intelligent …, 2019 - ieeexplore.ieee.org
Signature is the representation of a personal identity that written on a selected medium.
Signature can describe people's personality, which includes character, potential, motivation …

Verification of static signatures using dynamic time warping on features from high pressure points

R Acosta-Velasquez, L Espinosa-Leal… - … Conference on Extreme …, 2021 - Springer
In this paper, we present a novel methodology for the classification of static handwritten
signatures. We extract features from each user's high-pressure points by filtering the …

Forgery detection using machine learning and image processing

Α Καρυστινός - 2024 - polynoe.lib.uniwa.gr
In an era where digital transactions and document authentication play a central role, the
need for strong and secure methods to verify handwritten signatures is paramount. This …

[PDF][PDF] Signature Verification Using Image Processing Techniques

MC Bhargav, B Nasiruddin, SB Kumar… - journal-dogorangsang.in
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 …

[PDF][PDF] Online Handwritten Signature Verification System: Using Gaussian Mixture Model And Longest Common Sub-Sequences

S Shashidhar, A Sravya - 2017 - diva-portal.org
Nowadays, human identifications are necessary for our routine activities such as entering
any secure locations besides many other applications. To that end, higher security levels …