Compressed data format for handwritten signature biometric
Compressed data format for handwritten signature biometric
In this work, the authors explore different lossless strategies of organizing the sample point values from an on-line signature data format, in order to obtain higher compression performance. A new near-lossless strategy of organizing sample point values is also proposed, with the introduction of a control error difference level mechanism. Seven different data compression algorithms and three public databases have been tested in order to find the compression ratios for these new strategies, identify if a better data compression algorithm exists and the influence from the origin of the database, i.e. different populations signing in very different ways. The authors have also carried out an algorithm evaluation to investigate the impact of the information lost on several data formats on the Signature Verification performances.
Miguel-Hurtado, Oscar
57a8ef90-e39d-4731-a271-0399d7201d34
Mengibar-Pozo, Luis
f93938db-9456-48d6-936c-449ea89107e2
Lorenz, Michael G.
aa364d2a-ae38-4b90-97f2-f8936f51adec
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Miguel-Hurtado, Oscar
57a8ef90-e39d-4731-a271-0399d7201d34
Mengibar-Pozo, Luis
f93938db-9456-48d6-936c-449ea89107e2
Lorenz, Michael G.
aa364d2a-ae38-4b90-97f2-f8936f51adec
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Miguel-Hurtado, Oscar, Mengibar-Pozo, Luis, Lorenz, Michael G. and Guest, Richard
(2010)
Compressed data format for handwritten signature biometric.
In 44th Annual 2010 IEEE International Carnahan Conference on Security Technology.
IEEE.
9 pp
.
(doi:10.1109/CCST.2010.5678722).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this work, the authors explore different lossless strategies of organizing the sample point values from an on-line signature data format, in order to obtain higher compression performance. A new near-lossless strategy of organizing sample point values is also proposed, with the introduction of a control error difference level mechanism. Seven different data compression algorithms and three public databases have been tested in order to find the compression ratios for these new strategies, identify if a better data compression algorithm exists and the influence from the origin of the database, i.e. different populations signing in very different ways. The authors have also carried out an algorithm evaluation to investigate the impact of the information lost on several data formats on the Signature Verification performances.
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e-pub ahead of print date: 30 December 2010
Venue - Dates:
44th Annual 2010 IEEE International Carnahan Conference on Security Technology, , San Jose, United States, 2010-10-05 - 2010-10-08
Identifiers
Local EPrints ID: 489633
URI: http://eprints.soton.ac.uk/id/eprint/489633
PURE UUID: 201b278d-5b95-429f-8994-9474c777bfce
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Date deposited: 30 Apr 2024 16:36
Last modified: 01 May 2024 02:10
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Contributors
Author:
Oscar Miguel-Hurtado
Author:
Luis Mengibar-Pozo
Author:
Michael G. Lorenz
Author:
Richard Guest
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