Abstract
The method proposed in this paper uses signatures recorded with the use of four webcams. In the method a different sets of signature features and similarity measures can be used. Additionally, the influence of individual features on the signature similarity value has been examined. Practical experiments were also conducted with the own signatures' database and confirmed that results obtained are promising. © 2014 Springer International Publishing.
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Doroz, R., Wrobel, K., & Watroba, M. (2014). A hybrid system of signature recognition using video and similarity measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8480 LNAI, pp. 211–220). Springer Verlag. https://doi.org/10.1007/978-3-319-07617-1_19
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