Biometric Cryptosystem Using Online Signatures

  • Alisher Kholmatov
  • Berrin Yanikoglu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)


Biometric cryptosystems combine cryptography and biometrics to benefit from the strengths of both fields. In such systems, while cryptography provides high and adjustable security levels, biometrics brings in non-repudiation and eliminates the need to remember passwords or to carry tokens etc. In this work, we present a biometric cryptosystem which uses online signatures, based on the fuzzy vault scheme of Jules et al. The fuzzy vault scheme releases a previously stored key when the biometric data presented for verification matches the previously stored template hidden in a vault. The online signature of a person is a behavioral biometric which is widely accepted as the formal way of approving documents, bank transactions, etc. As such, biometric-based key release using online signatures may have many application areas.

We extract minutiae points (trajectory crossings, endings and points of high curvature) from online signatures and use those during the locking & unlocking phases of the vault. We present our preliminary results and demonstrate that high security level (128 bit encryption key length) can be achieved using online signatures.


Biometric Data Biometric Template Biometric Trait Online Signature Genuine Signature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Alisher Kholmatov
    • 1
  • Berrin Yanikoglu
    • 1
  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityTurkey

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