DISTANCE-LEVEL FUSION STRATEGIES FOR ONLINE SIGNATURE VERIFICATION (FriAmPO1)

Author(s) : Tobias Scheidat (Otto-von-Guericke University Magdeburg, Germany) Claus Vielhauer (Otto-von-Guericke University Magdeburg, Germany) Jana Dittmann (Otto-von-Guericke University Magdeburg, Germany)

Abstract : In this paper an approach for combining online signature authentication experts will be proposed. The different experts are based on one feature extraction method presented in our earlier work, the Biometric Hash algorithm [1], to which different distance measurement functions are applied. We will show that by the fusion of several algorithms with an appropriate parameterized strategy an improvement of the recognition accuracy can be achieved. The best fusion strategy results in a decrease of the EER of 12.1% in comparison to the best individual algorithm. The database we used contains 1761 genuine enrollments (with 4 signatures per enrollment), 1101 genuine verification signatures and 431 well skilled forgeries (so-called “brute force attack”) by 22 persons. Further we show whether the fusion is suitable for the use with certain semantics.

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