| Paper: | ITT-P2.5 | ||
| Session: | Emerging DSP Applications | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Industry Technology Track: Biometrics | ||
| Title: | Evaluation of Features and Normalization Techniques for Signature Verification using Dynamic Time Warping | ||
| Authors: | David Fenton, Martin Bouchard, Tet Hin Yeap, University of Ottawa, Canada | ||
| Abstract: | This paper examines the use of different feature sets and normalization techniques for a signature and password verifier. The verifier made use of the Dynamic Time Warping (DTW) algorithm. Velocity and detrended velocity were found to be the best-performing features in tests against informed forgeries. Overall, password verification did not perform as well as signature verification. On average, the equal error rate for passwords was 2.1% higher than for signatures. Password features achieved best performance when they were not normalized prior to DTW. The same held true for most signature features, other than the top-performing velocity features. These achieved their lowest error rates when they were normalized in both time and power before warping was applied. | ||
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