5 datasets found

The GPDS-300 database contains 24 genuine signatures for each of 300 individuals.

The dataset is a collection of 3600 genuine signatures and 2400 forged signatures.

The dataset used for the research on writer-independent feature learning for offline signature verification using deep convolutional neural networks.

The dataset used for the research on writer-independent feature learning for offline signature verification using deep convolutional neural networks.

Three public datasets, namely CEDAR, Bengali, and Hindi, which include genuine (Human Genuine) and forgery (Human Forged) signatures.