DeepSignDB: Deep On-Line Signature Verification Database (DeepSignDB)

2021-05-28 (v. 1)

Contact author

Ruben Tolosana

Biometrics and Data Pattern Analytics Lab (BiDA Lab), UAM

ruben.tolosana@uam.es

+34914977506

+34914977506

You can cite this dataset as: Ruben Tolosana, DeepSignDB: Deep On-Line Signature Verification Database (DeepSignDB) ,1,ID:DeepSignDB_1,URL:https://tc11.cvc.uab.es/datasets/DeepSignDB_1

Dataset Information

Dataset URL

https://github.com/BiDAlab/DeepSignDB

Keywords

Handwriting; On-Line Signature; Biometrics; Deep Learning

Description

Download instructions available at https://github.com/BiDAlab/DeepSignDB

The DeepSignDB database comprises a total of 1526 users from four different popular databases and a novel signature database not presented yet, named e-BioSign DS2. The following image graphically summarises the design, acquisition devices, and writing tools considered in the DeepSignDB database.

 

Description of the design, acquisition devices, and writing tools considered in the new DeepSignDB database. A total of 1526 users and 8 different captured devices are used (5 Wacom and 3 Samsung general purpose devices). For the Samsung devices, signatures are also collected using the finger. Gen. Sig. = Genuine Signatures, and Sk. Forg. = Skilled Forgeries.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Reference

R. Tolosana, R. Vera-Rodriguez, J. Fierrez and J. Ortega-Garcia, "DeepSign: Deep On-Line Signature Verification", IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021

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