IEEE

A Novel Handwritten Punjabi Signature Dataset for Developing Robust and Scalable Deep-learning based Signature Verification Systems

Abstract: However, the lack of large, diverse, and well-annotated signature datasets poses a significant challenge in developing robust and scalable deep learning-based verification models. In this ...
IEEE

Signature Verification System Using Object Detection and Machine Learning

Abstract: Signature verification is a critical task in authentication systems, ensuring the security and reliability of financial transactions, legal documents, and identity verification processes.
IEEE

Offline Signature Verification System Using Siamese Networks with Four Distinct Backbone Architectures: MobileNetV2, VGG16, InceptionV3 and a Custom CNN

Abstract: This document presents an in-depth examination of offline signature verification utilizing Siamese neural networks. Our study tackles the issue of advanced forgeries by assessing a Siamese ...
Yahoo

Trump’s Treasury Dept. Is Adding His Signature to All U.S. Currency — First Time Using a Sitting President’s Name

Add Yahoo as a preferred source to see more of our stories on Google. Donald Trump with executive order in Oval Office Trump’s Treasury Department “is taking another unprecedented step toward brand ...
IEEE

AI-Based Handwritten Signature Verification System: A Review

Abstract: In the banking, education, legal and business sectors handwritten signature verification still widely utilized for authentication, even in the age of sophisticated biometric technologies and ...
IEEE

Handwritten Signature Verification Technology Using Deep Learning – A Review

Abstract: Biometrics is currently widely utilized for the identification and verification of persons and their signatures all around the world. An individual's handwritten signature is a unique ...
IEEE

Hybrid User-Independent and User-Dependent Offline Signature Verification with a Two-Channel CNN

Abstract: Signature verification task needs relevant signature representations to achieve low error rates. Many signature representations have been proposed so far ...
IEEE

Hand Gesture-Based Biometric Verification and Identification Using Embedded-STQNet Deep Neural Architecture in Security-Oriented Systems

Abstract: This study presents Embedded-STQNet, a dual-path deep neural architecture for surface electromyography (sEMG)-based biometric authentication. The network integrates a local-spectral CNN and ...
IEEE

Enhancing Signature Recognition with Hybrid Soft Computing Techniques: A CNN and Neuro-Fuzzy Logic Approach

Abstract: Signature verification is a crucial task in biometrics, widely utilized in authentication and fraud prevention. This study introduces a hybrid approach leveraging Convolutional Neural ...