IEEE

A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach

Abstract: The offline signature verification system’s feature extraction stage is regarded as crucial and has a significant impact on how well these systems perform because the quantity and ...
Hosted on MSN

Addressing Arizona’s election security ahead of 2026 midterms

Following a recent court ruling affirming his office’s independence, Maricopa County Recorder Justin Heap discusses his efforts to bolster Arizona’s election security through bipartisan signature ...
CNN

Here’s who stands to gain from the ‘big, beautiful bill.’ And who may struggle

Big business groups, including the US Chamber of Commerce and Business Roundtable, applauded the Senate’s passage of the bill on Tuesday. Corporations are betting they will benefit from the ...
IEEE

Enhancing Security: Infused Hybrid Vision Transformer for Signature Verification

Abstract: Handwritten signature verification is challenging because there is a huge variation between the orientation thickness and appearance of handwritten signatures. A strong signature ...
Forbes

How AI And ML Can Revolutionize Banks’ Signature Verification Process

The global biometric authentication (signature verification) market is projected to grow with a CAGR of 25%, and the market size is expected to be $9,395 million by 2030. Despite increased ...
GitHub

Feature extraction of off-line signatures for verification using Convolutional Neural Networks

This repository contains the report and the files of the final's-year coursework, for the requirements of the B.Sc in Physics from the University of Patras. This B.Sc. thesis focuses on the research ...