The current proliferation of mobile devices raises an important issue: that of intelligent authentication mechanisms based on sensors within handheld devices. On-line signatures can now be easily captured with the fingertip on mobile devices. We study the performance of on-line signature authentication systems on touchscreen-based mobile devices. Performance evaluations were carried out on the DooDB database, which contains both doodles and pseudo-signatures from 100 users. Besides the results of the function-based methods presented by the database creators, we also evaluated this database using feature-based anomaly detectors. Moreover, we present performance evaluations using different Equal Error Rate (EER) estimation methods and show that there are significant differences among the obtained EER values.
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