On the Discrimination Power of Dynamic Features for Online Signature

Pal, Sandipan and Al-Assam, Hisham and Sellahewa, Harin (2017) On the Discrimination Power of Dynamic Features for Online Signature. In: The 50th International Conference in Digital Signal Processing (DSP), 23-25 August 2017, London, UK..

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Official URL: http://ieeexplore.ieee.org/document/8096038/


The mobile market has taken huge leap in the last two decades, re-defining the rules of communication, networking, socializing and transactions among individuals and organizations. Authentication based on verification of signature on mobile devices, is slowly gaining popularity. Most online signature verification algorithms focus on computing the global Equal Error Rate across all users for a dataset. In this work, contrary to such a representation, it is shown that there are user-specific differences on the combined features and user-specific differences on each feature of the Equal Error Rate(EER) values. The experiments to test the hypothesis is carried out on the two publicly available dataset using the dynamic time warping algorithm. From the experiments, it is observed that for the MCYT-100 dataset, which yields an overall EER of 0.08, the range of user-specific EER is between 0 and 0.27.

Item Type: Conference or Workshop Item (Paper)
Additional Information: DOI: 10.1109/ICDSP.2017.8096038
Uncontrolled Keywords: discrimination power; authentication; mobile devices; dynamic time warping algorithm; Equal Error Rate; online signature verification algorithms.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: School of Computing
Depositing User: Hisham Al Assam
Date Deposited: 28 Feb 2018 12:15
Last Modified: 28 Feb 2018 12:15
URI: http://bear.buckingham.ac.uk/id/eprint/208

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