Guest, Richard and Hurtado, Oscar Miguel and Henniger, Olaf (2014) Assessment of methods for image recreation for signature time-series data. IET Biometrics, 3 (3). pp. 159-166. ISSN 2047-4938. E-ISSN 2047-4946. (doi:https://doi.org/10.1049/iet-bmt.2013.0022) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
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Human signatures are widely used for biometric authentication. For automatic online signature verification, rather than storing an image of the completed signature, data are represented in the form of a time series of pen position and status information allowing the extraction of temporal-based features. For visualisation purposes, signature images need to be recreated from time-series data. In this study, the authors investigate the accuracy and verification performance of a series of interpolation methods for recreating a signature image from the time-series data contained in two ISO/IEC data storage formats. The authors experiments investigate dynamic data stored at various sample rates and signature images recreated at differing resolutions. Their study indicates possible best practice in terms of image recreation method, recreated image resolution and temporal sample rate and assesses the effect on the accuracy of reconstructed signature data.
|Divisions:||Faculties > Sciences > School of Engineering and Digital Arts|
|Depositing User:||Tina Thompson|
|Date Deposited:||14 Oct 2014 11:06 UTC|
|Last Modified:||13 Jul 2015 10:59 UTC|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/43388 (The current URI for this page, for reference purposes)|