Offline Signature Verification

Offline signature verification aims to automatically authenticate handwritten signatures, a crucial task with broad applications in security and document processing. Current research heavily utilizes deep learning, particularly convolutional neural networks (CNNs) and generative adversarial networks (GANs), to extract discriminative features from signature images and build robust verification systems. A key focus is improving the accuracy and security of these systems by addressing vulnerabilities to sophisticated forgery techniques, including those generated by AI models and robotic systems, and developing more reliable methods for handling limited training data through self-supervised learning. These advancements have significant implications for enhancing security in various sectors, from financial transactions to legal document verification.

Papers

January 5, 2024

Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations
Paul Brimoh, Chollette C. Olisah
Convolutional Neural Network Meaningful Representation Signature Verification Consensus Learning Offline Signature Offline Signature Verification

December 2, 2023

Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification
An Ngo, MinhPhuong Cao, Rajesh Kumar
Rapid Countermeasure Signature Verification Generative Attack Signature Analysis Offline Signature Offline Signature Verification

April 14, 2022

Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification
Jordan J. Bird
Adversarial Attack Non Humanoid Robot Signature Verification Generative Attack Offline Signature Verification

March 17, 2022

Revealing Reliable Signatures by Learning Top-Rank Pairs
Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida
LeArning Abstract Similar Pair Signature Verification Digital Signature Offline Signature Verification

February 26, 2022

SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification
Siladittya Manna, Soumitri Chattopadhyay, Saumik Bhattacharya, Umapada Pal
Self Supervised Self Supervised Representation Learning Self Supervised Representation Signature Verification Handwritten Signature Offline Signature Verification

January 25, 2022

SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay, Siladittya Manna, Saumik Bhattacharya, Umapada Pal
Self Supervised Representation Learning Attention Based Model Image Patch Triplet Loss Self Supervised Framework Indian English Offline Signature Offline Signature Verification

Offline Signature Verification

Papers

Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations

Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification

Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification

Revealing Reliable Signatures by Learning Top-Rank Pairs

SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification

SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification