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INSTRUCTIONS FOR DOWNLOADING e-BioSign-DS1-Signature DB

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

  2. Send an email to atvs@uam.es, as follows:
    Subject: [DATABASE download: e-BioSign-DS1-Signature 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 atvs@uam.es that you have successfully completed the transaction.
     

  5. For more information, please contact: atvs@uam.es



DESCRIPTION OF e-BioSign-DS1-Signature DB

The dataset comprises on-line signatures acquired from 5 different COTS devices in total, three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwritng, and two Samsung general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger. Data was collected in two sessions for 65 subjects. Skilled forgeries were also performed. In Fig. 1 the description of the devices and the acquisition setup per device and user considered in the e-BioSign database are depicted. We report in [PONE2017] a benchmark performance based on e-BioSign for person verification under three different real scenarios: 1) intra-device scenario, 2) inter-device scenario, and 3) mixed writing-tool scenario. We have also experimented the proposed benchmark using the main existing approaches for signature verification: feature- and time functions-based.


On-line syntetic signatures 2

Figure 1. Description of the devices and the acquisition setup per device and user considered in the e-BioSign database [PONE2017].





Writing tool: Stylus

Devices:

  • W1: Wacom STU-500.

  • W2: Wacom STU-530.

  • W3: Wacom DTU-1031.

  • W4: Samsung ATIV 7.

  • W5: Samsung Galaxy Note 10.1.

It comprises 8 original signatures and 6 skilled forgeries per user and device (65 users).

Samples were captured in 2 separate acquisition sessions (named S1 and S2).

The sessions were captured leaving a three week interval between them.

It is worth noting that all five devices were used with their own pen stylus. The same capturing protocol was used for all five devices: they were placed on a desktop and subjects were told to feel comfortable when writing on them, so a small rotation of the devices was allowed.


On-line syntetic signatures 2 On-line syntetic signatures 2

Figure 2. Genuine (left) and skilled forgery (right) samples acquired using the stylus.





Writing tool: Finger

Devices:

  • W4: Samsung ATIV 7.

  • W5: Samsung Galaxy Note 10.1.

It comprises 8 original signatures and 6 skilled forgeries per user and device (65 users).

Samples were captured in 2 separate acquisition sessions (named S1 and S2).

The sessions were captured leaving a three week interval between them.

The same capturing protocol was used for all two devices: they were placed on a desktop and subjects were told to feel comfortable when writing on them, so a small rotation of the devices was allowed.


On-line syntetic signatures 2 On-line syntetic signatures 2

Figure 3. Genuine (left) and skilled forgery (right) samples acquired using the finger.





    FILES FORMAT

The signatures are stored in text files following the format of the 2004 Signature Verification Competition (SVC), where:

  • 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: represents the timestamp.

    • COLUMN 4: represents the pressure (p) function. This information is not available when the finger is considered as the writing tool.


    FILES NOMENCLATURE

The nomenclature followed to name the signature files is as follows: uAAA_sB_g1_bC_sign_wD_E_FFF.txt

  • AAA: is the number of the user [101, 102, ... , 170]. Some users in between were finally removed having in total 65 users.

  • B: is the number of the session [1 and 2].

  • C: is the number of the genuine block inside each session [1 and 2]. No meaning for skilled forgeries.

  • D: is the number of the device [1, 2, 3, 4 and 5].

  • E: is the type of the signature (i.e. "c" for genuine signatures and "s" for skilled forgeries).

  • FFF: no meaning.



REFERENCES

For further information on the database and on different applications where it has been used, we refer the reader to (all these articles are publicly available in the publications section of the ATVS group webpage.)

    [PONE2017] R. Tolosana, R. Vera-Rodriguez, J. Fierrez, A. Morales and J. Ortega-Garcia, "Benchmarking Desktop and Mobile Handwriting across COTS Devices: the e-BioSign Biometric Database.", PLOS ONE.

Please remember to reference articles [PONE2017] on any work made public, whatever the form, based directly or indirectly on any part of the e-BioSign-DS1-Signature Database.