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Assessment of methods for image recreation for signature time-series data

Assessment of methods for image recreation for signature time-series data
Assessment of methods for image recreation for signature time-series data
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.
2047-4938
159-166
Guest, Richard Matthew
93533dbd-b101-491b-83cc-39ccfdc18165
Hurtado, Oscar Miguel
57a8ef90-e39d-4731-a271-0399d7201d34
Henniger, Olaf
65402ef6-927a-42c4-8880-21aa6dcbaf0c
Guest, Richard Matthew
93533dbd-b101-491b-83cc-39ccfdc18165
Hurtado, Oscar Miguel
57a8ef90-e39d-4731-a271-0399d7201d34
Henniger, Olaf
65402ef6-927a-42c4-8880-21aa6dcbaf0c

Guest, Richard Matthew, Hurtado, Oscar Miguel and Henniger, Olaf (2014) Assessment of methods for image recreation for signature time-series data. IET Biometrics, 3 (3), 159-166. (doi:10.1049/iet-bmt.2013.0022).

Record type: Article

Abstract

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.

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More information

Accepted/In Press date: 20 August 2013
Published date: 1 September 2014

Identifiers

Local EPrints ID: 489645
URI: http://eprints.soton.ac.uk/id/eprint/489645
ISSN: 2047-4938
PURE UUID: fd5c291b-7db7-4c6d-aa20-a63da1a535aa
ORCID for Richard Matthew Guest: ORCID iD orcid.org/0000-0001-7535-7336

Catalogue record

Date deposited: 30 Apr 2024 16:40
Last modified: 01 May 2024 02:10

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Contributors

Author: Richard Matthew Guest ORCID iD
Author: Oscar Miguel Hurtado
Author: Olaf Henniger

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