An individuality model for online signatures using global Fourier descriptors

Alisher Kholmatov; Berrin Yanikoglu

doi:10.1117/12.777640

17 March 2008 An individuality model for online signatures using global Fourier descriptors

Alisher Kholmatov, Berrin Yanikoglu

Proceedings Volume 6944, Biometric Technology for Human Identification V; 694407 (2008) https://doi.org/10.1117/12.777640
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The discriminative capability of a biometric is based on its individuality/uniqueness and is an important factor in choosing a biometric for a large-scale deployment. Individuality studies have been carried out rigorously for only certain biometrics, in particular fingerprint and iris, while work on establishing handwriting and signature individuality has been mainly on feature level. In this study, we present a preliminary individuality model for online signatures using the Fourier domain representation of the signature. Using the normalized Fourier coefficients as global features describing the signature, we derive a formula for the probability of coincidentally matching a given signature. Estimating model parameters from a large database and making certain simplifying assumptions, the probability of two arbitrary signatures to match in 13 of the coefficients is calculated as 4.7x10^-4. When compared with the results of a verification algorithm that parallels the theoretical model, the results show that the theoretical model fits the random forgery test results fairly well. While online signatures are sometimes dismissed as not very secure, our results show that the probability of successfully guessing an online signature is very low. Combined with the fact that signature is a behavioral biometric with adjustable complexity, these results support the use of online signatures for biometric authentication.

Citation Download Citation

Alisher Kholmatov and Berrin Yanikoglu "An individuality model for online signatures using global Fourier descriptors", Proc. SPIE 6944, Biometric Technology for Human Identification V, 694407 (17 March 2008); https://doi.org/10.1117/12.777640

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available