Abstract
The signatures are behavioral biometric characteristic used for authentication purpose. The verification of a signature while writing through the machine is called online signature verification. In this paper, we have implemented verification of signatures at sub-trajectory level. The verification has been performed using common threshold of features and writer dependent threshold. A set of fifty features are extracted of nature static, kinematic, statistical and structural properties. The experiments have been performed using SVC2004 (Signature Verification Competition) Task1 where forty user’s data include twenty genuine and twenty forgery signatures of each user. The achieved results indicate that verification at sub-trajectory level is a promising technique in online signature verification.
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Rohilla, S., Sharma, A., Singla, R.K. (2014). Online Signature Verification at Sub-trajectory Level. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 2. Smart Innovation, Systems and Technologies, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-07350-7_41
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DOI: https://doi.org/10.1007/978-3-319-07350-7_41
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07349-1
Online ISBN: 978-3-319-07350-7
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