Pattern Analysis and Applications

, Volume 12, Issue 3, pp 227–236 | Cite as

SUSIG: an on-line signature database, associated protocols and benchmark results

  • Alisher Kholmatov
  • Berrin Yanikoglu
Theoretical Advances


We present a new online signature database (SUSIG). The database consists of two parts that are collected using different pressure-sensitive tablets (one with and the other without an LCD display). A total of 100 people contributed to each part, resulting in a database of more than 3,000 genuine signatures and 2,000 skilled forgeries. The genuine signatures in the database are real signatures of the contributors. In collecting skilled forgeries, forgers were shown the signing process on the monitor and were given a chance to practice. Furthermore, for a subset of the forgeries (highly skilled forgeries), this animation was mapped onto the LCD screen of the tablet so that the forgers could trace over the mapped signature. Forgers in this group were also informed of how close they were to the reference signature, so that they could improve their forgery quality. We describe the signature acquisition process and several verification protocols for this database. We also report the performance of a state-of-the-art signature verification system using the associated protocols. The results show that the highly skilled forgery set is significantly more difficult compared to the skilled forgery set, providing researchers with challenging forgeries. The database is available through


On-line signature verification Database Biometrics 



We would like to thank the referees whose valuable comments improved the writing of this paper, as well as those who donated their time and signatures to the database. This work is supported by TÜBITAK (The Scientific and Technical Research Council of Turkey) under project number 105E165.


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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityIstanbulTurkey

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