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  1. Download license agreement, send by email one signed and scanned copy to

  2. Send an email to, as follows:
    Subject: [DATABASE download: BiosecurID-SGlobalLocalFeat DB]

    : 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 get 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 that you have successfully completed the transaction.

  5. For more information, please contact:

DESCRIPTION OF BiosecurID-SGlobalLocalFeat DB

The BiosecurID-SGlobalLocalFeat DB contains two complementary feature datasets, extracted from the BiosecurID signature corpus:

  • Global features: containing a fixed-length representation of the on-line signatures [IBIO2017].

  • Local functions: containing a variable-length representation of the on-line signatures, based on time sequences [IBIO2017].


Both sets of features are stored in MATLAB .mat files which contain the following data:

  • Global features: a 40 dimensional feature vector, comprising all global features.

  • Local functions: an nSamples x 9 dimensional matrix, where each column represents one of the sequences extracted from the signature.


Each set of features is stored in a separate folder, namely: GlobalFeatures and LocalFunctions. The file structure is identical for each subset, being the nomenclature followed to name the files as follows: uXXXX_sYYYY_sgZZZZ

  • XXXX: is the number of the user [1001, 1002, ..., 1400]

  • YYYY: is the number of the session [0001, 0002, 0003, 0004]

  • ZZZZ: is the number of the sample [0001, 0002, 0003, 0004, 0005, 0006, 0007]

Signatures [1, 2, 6, 7] of each session are genuine samples.

Signatures [3, 4, 5] of each session are skilled forgeries.


For further information on the database we refer the reader to (these articles are publicly available in the publications section of the ATVS group webpage.)

  • [ACC2017] M. Gomez-Barrero, J. Galbally, A. Morales and J. Fierrez, "Privacy-Preserving Comparison of Variable-Length Data with Application to Biometric Template Protection", IEEE Access, 2017, [DOI]

  • [IBIO2017] M. Martinez-Diaz, J. Fierrez, R. P. Krish, and J. Galbally, "Mobile Signature Verification: Feature Robustness and Performance Comparison", IET Biometrics, vol. 3, pp. 2670-277, 2014, [DOI].

Please remember to reference article [ACC2017] on any work made public, whatever the form, based directly or indirectly on any part of the BiosecurID-SGlobalLocalFeat DB.