A Reduced Feature Representation based Online Signature Authentication
Youssef Elmir, Nasreddine Karour, Souleymane Ouled Jaafri
Journal of Information Security Research, Vol. 10, No. 2, 2019.
DOI: https://doi.org/10.6025/jisr/2019/10/2/39-47
Link: http://www.dline.info/jisr/fulltext/v10n2/jisrv10n2_1.pdf
Abstract:
In order to achieve perfection in security field, the biometric recognition has been used as a tool, because it is based on physiological and behavioral characteristics of a person which unlike the traditional prevailing methods of human identification, cannot be forgotten, stolen, eliminated or changed with time. In this paper, a theoretical and general presentation of an online signature based biometric system using a reduced set of features. The authenticity of a signer is determined by comparing an input signature to a stored reference set (template) based on a limited number of simple extracted features like
the total length of the lines, pressure, the distance between the first and the last point, the average of horizontal displacement...etc. The proposed system was compared to QU-PRIP system which used more extracted features, this system which is the winner system in ICDAR2011 Signature Verification Competition. After several experiments, the obtained results show that even though the overall system performance are not very good enough but it is approximately similar to the one of
the QU-PRIP system that uses more extracted features, the fact that affect directly on the total space of representation and the total time necessary for authentication.