Abstract
Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher recognition rates than offline signature verification. Nowadays, forensic document examiners distinguish between forgeries, in which an impostor tries to imitate a given signature of another person and disguised signatures, in which the authentic author deliberately tries to hide his/her identity with the purpose of denial at a later stage. The disguised signatures play an important role in real forensic cases but are not considered in recent literature. In this paper, we propose a new system for online signature verification for both forgeries and disguised signatures. This system extract features from both the questioned and the reference signature. The combination of the features is performed using several classifiers and achieves high performances on several signature databases.
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Hassaïne, A., Al-Maadeed, S. (2012). An Online Signature Verification System for Forgery and Disguise Detection. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34478-7_67
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DOI: https://doi.org/10.1007/978-3-642-34478-7_67
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