SSDV: an offline signature detection and verification dataset

Official URL: https://dx.doi.org/10.1109/SIU66497.2025.11112495

Signatures have long been used as a basic means of authentication. With the increase in digitization and document forgery, signature verification has gained greater importance than ever before. This study introduces the SSDV (Sabanci Signature Detection and Verification) dataset, developed for signature detection and verification. SSDV provides a rich dataset that simulates real-world scenarios for signature verification and detection. This dataset, expanded with various types of noise and forged signature data, is designed to test and improve the robustness of signature verification systems. The scope of the dataset reflects the challenges encountered in current research and applications, providing a valuable resource for developing new models and algorithms in this field.