Abstract
This paper concerns about keystroke dynamics and face image fusion. Different methods of database collecting are presented. The authors combined data from their own keystroke database and public AT&T Database of Faces. Keystroke Dynamics—Benchmark Data Set was used additionally. Two selected approaches have been merged and overall system reliability was tested. Initial outcome shows that the results when the algorithms work together give more robust identification accuracy.
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Acknowledgements
This work was partially supported by grant number S/WI/1/2013 from Bialystok University of Technology and funded from the resources for research by Ministry of Science and Higher Education. It was also partially supported by Neitec company.
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Panasiuk, P., Dąbrowski, M., Saeed, K. (2017). Keystroke Dynamics and Face Image Fusion as a Method of Identification Accuracy Improvement. In: Chaki, R., Saeed, K., Cortesi, A., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 567. Springer, Singapore. https://doi.org/10.1007/978-981-10-3409-1_13
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DOI: https://doi.org/10.1007/978-981-10-3409-1_13
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