Enhancing static biometric signature verification using speeded-up robust features

Guest, Richard and Hurtado, Oscar Miguel (2012) Enhancing static biometric signature verification using speeded-up robust features. In, 2012 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE, pp. 213-217. (doi:10.1109/CCST.2012.6393561).

Abstract

Automatic biometric static signature verification performs a comparison between signature images (or preformed templates) to verify authenticity. Although widely recognised that performance enhancement can be achieved when using dynamic features, which use temporal/ constructional information, alongside static features, this scenario requires the capture of signatures using specialist sample equipment such a tablet device. The vast majority of (legacy) signatures across a range of important domains, including banking, legal and forensic applications, are in a static format. In this paper we use the Speeded-Up Robust Features (SURF) image registration technique in a novel application to static signature image matching. We use genuine and skilled forgery signatures from the GPDS960 dataset as test data and across a range of enrolment and SURF point distance configurations. The best performance from our method was 11.5 enrolment templates using the lowest 50point distances. This encouraging result is in line with the current state-of-the-art performance.

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Contributors

Author: Richard Guest

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