Featured Application This deep learning-based method is useful in the computer-aided
detection of forgery signatures by using a single known genuine sample. Abstract Signature …

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 …

This paper explores the contribution of authenticity to digitized handwritten signatures using
a deep learning-based approach, implementing ResNet-50 and optical character …

Handwritten signature verification is a crucial yet challenging problem. While previous
studies have made great progress in this problem, they learn signature features passively …

The traditional way of gathering information of handwritten signature is manual with the help
of a person, the analysis and verification of the signature are done by the person who's there …

Several researchers have worked on signature verification problems from different aspects
utilizing insights from signal processing and computer vision, since the last few decades …

An increasing number of disguising frauds are resorting to forged signatures. This poses
significant challenges and threats to both business operations and personal privacy. The …

In the field of online handwritten signature verification, it is challenging to verify handwritten
signature in a writer-independent scenario. In recent years, many researchers have been …

Verifying an individual's Chinese handwritten signature is a vital biometric technology that is
widely used in banking, finance, and legal business. Forged signatures for the purpose of …

The explosively increasing use of personal computing devices that contain a touchscreen as
input interface and the inconvenience of manually pressing password on the devices lead to …