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Authors: Tim Dittmar ; Claudia Krull and Graham Horton

Affiliation: Otto-von-Guericke-University Magdeburg, Germany

Keyword(s): Online Signature Verification, Conversive Hidden non-Markovian Model, DTW, HMM, Movement Trajectories.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Signal Processing ; Software Engineering ; Stochastic Methods ; Telecommunications ; Theory and Methods

Abstract: This paper presents further research on an implemented classification and verification system that employs a novel approach for stochastically modelling movement trajectories. The models are based on Conversive Hidden non-Markovian Models that are especially suited to mimic temporal dynamics of time series as in contrast to the relative Hidden Markov Models(HMM) and the dynamic time warping(DTW) method, timestamp information of data are an integral part. The system is able to create trajectory models from examples and is tested on signatures, doodles and pseudo-signatures for its verification performance. By using publicly available databases comparisons are made to evaluate the potential of the system. The results reveal that the system already performs similar to a general DTW approach on doodles and pseudo-signatures but does not reach the performance of specialized HMM systems for signatures. But further possibilities to improve the results are discussed.

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Paper citation in several formats:
Dittmar, T.; Krull, C. and Horton, G. (2017). Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 249-258. DOI: 10.5220/0006212502490258

@conference{icpram17,
author={Tim Dittmar. and Claudia Krull. and Graham Horton.},
title={Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2017},
pages={249-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006212502490258},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification
SN - 978-989-758-222-6
IS - 2184-4313
AU - Dittmar, T.
AU - Krull, C.
AU - Horton, G.
PY - 2017
SP - 249
EP - 258
DO - 10.5220/0006212502490258
PB - SciTePress

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