Compressed data format for handwritten signature biometrics

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.