|
|||||||
| |||||||
Finger-Vein Acquisition Condition Scores | |||||||
This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences
Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience
in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and
Biometrics.
| |||||||
Handbook of Vascular Biometrics (Chapter 7) - Finger-Vein Acquisition Condition ScoresThe capture subject comparison scores have been computed in the scope of investigations regrading recognition performance influences of various acquisition conditions. To obtain the comparison scores, all possible genuine and impostor comparisons are performed. This is done by comparing each image against all remaining ones which finally results in 120 genuine and 1650 impostor comparisons per subset. We utilised the PLUS OpenVein-Toolkit from which an implementation can be downloaded from: OpenVein-Toolkit. Thus, the provided score results are given in Matlab .mat files. Database Description:Filename and Directory StructureDirectory Structure: Filename: Placeholder:
Examples:
Download:The obtained capture subject comparison scores using different finger-vein acquisition conditions as investigated in Handbook of Vascular Biometrics (Chapter 7) are available upon request. | |||||||
|