Machine Learning
ICDAR 2009 Signature Verification Competition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
The ICDAR2011 Arabic Writer Identification Contest
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Automatic Signature Verification: The State of the Art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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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.