INSTRUCTIONS FOR DOWNLOADING ATVS-SG_NOTE

1. Download license agreement, send by email one signed and scanned copy to atvsuam.es according to the instructions given in point 2.
    

2. Send an email to atvsuam.es, as follows:
   Subject: [DATABASE download: ATVS-SG_NOTE_DB]
   
   Body: Your name, e-mail, telephone number, organization, postal mail, purpose for which you will use the database, time and date at which you sent the email with the signed license agreement.
    

3. Once the email copy of the license agreement has been received at ATVS, you will receive an email with a username, a password, and a time slot to download the database.
    

4. Download the database, for which you will need to provide the authentication information given in step 4. After you finish the download, please notify by email to atvsuam.es that you have successfully completed the transaction.
    

5. For more information, please contact: atvsuam.es

DESCRIPTION OF ATVS-SG_NOTE

The SG-NOTE dynamic signature database was captured in two different sessions with an average gap of 5 days between them. In each session, signatures were acquired in two blocks of 5 samples, with a short break between blocks. No skilled forgeries are available in this database. Consequently, the database contains a total amount of 500 signatures (2 sessions with 25 users and 10 signatures per session). See Fig. 1 for an example signature acquisition in SG-NOTE.

Figure 1. Signature acquisition setup.

FILES FORMAT

Signatures are stored in text files following the following format:

• ROW 1: it just contains one entry with the number of sampled points of the signature (N).

• ROWS 2 to (N+1):.

• COLUMN 1: represents the x coordinate.

• COLUMN 2: represents the y coordinate.

• COLUMN 3: this is a synthetic timestamp (it may be neglected).

• COLUMN 4: indicates the pressure, as sampled by the device screen.

FILES NOMENCLATURE

Users are numbered by the following pattern: [001,...,025].

REFERENCES

For further information on the database, we refer the reader to the following article:

• [IETB2014] M. Martinez-Diaz, J. Fierrez, R. P. Krish and J. Galbally, "Mobile Signature Verification: Feature Robustness and Performance Comparison", IET Biometrics, Vol. 3, n. 4, pp. 267-277, December 2014

Please remember to reference article [IETB2014] on any work made public, whatever the form, based directly or indirectly on any part of the SG_NOTE database.