Abstract
A new DTW-based on-line signature verification system is presented and evaluated. The system is specially designed to operate under realistic conditions, it needs only a small number of genuine signatures to operate and it can be deployed in almost any signature capable capture device. Optimal features sets have been obtained experimentally, in order to adapt the system to environments with different levels of security. The system has been evaluated using four on-line signature databases (MCYT, SVC2004, BIOMET and MyIDEA) and its performance is among the best systems reported in the state of the art. Average EERs over these databases lay between 0.41% and 2.16% for random and skilled forgeries respectively.
This work has been partially supported by Consejería de Educación de la Junta de Castilla y León under research contract VA077A08.
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Keywords
- Dynamic Time Warping
- Feature Selection Process
- Sequential Forward Selection
- Dynamic Time Warping Distance
- Online Signature
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Pascual-Gaspar, J.M., Cardeñoso-Payo, V., Vivaracho-Pascual, C.E. (2009). Practical On-Line Signature Verification. In: Tistarelli, M., Nixon, M.S. (eds) Advances in Biometrics. ICB 2009. Lecture Notes in Computer Science, vol 5558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01793-3_119
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DOI: https://doi.org/10.1007/978-3-642-01793-3_119
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