Recognition of Dynamic Signatures for People Verification

Shern Yau, Dinesh Kant Kumar



Machine based identity validation has applications such as authentication of documents, for financial transactions, and for entry into restricted space and database. The ineffectiveness of password and personal identification numbers has been demonstrated by recent explosion of frauds. This paper proposes the use of unpenned dynamic signature to validate the authentic user and related transactional instruments. A comparison of the ability of various classifiers for classifying the multi-dimensional features of the dynamic signatures is reported. The technique has been tested for single user and multi user and also when the forger is actively attempting to cheat the system. The system is able to perfectly determine the authentic user from other users when the user’s signature trace is secret. The system is also able to perfectly reject forgers who may have access to the user’s signature, with a 10% of the authentic user signature being classified as ‘unknown’.


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Paper Citation

in Harvard Style

Yau S. and Kant Kumar D. (2007). Recognition of Dynamic Signatures for People Verification . In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 189-198. DOI: 10.5220/0002417601890198

in Bibtex Style

author={Shern Yau and Dinesh Kant Kumar},
title={Recognition of Dynamic Signatures for People Verification},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},

in EndNote Style

JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - Recognition of Dynamic Signatures for People Verification
SN - 978-972-8865-93-1
AU - Yau S.
AU - Kant Kumar D.
PY - 2007
SP - 189
EP - 198
DO - 10.5220/0002417601890198