Biometric Scores 2014 (BIOSCOTE 2014)

Description

This dataset contains raw scores in plain text format of several biometric (face and speaker) recognition systems applied on several datasets such as BANCA, Arface, FRGC, GBU, LFW, Multi-PIE, MOBIO, CAS-PEAL, NIST SRE 2012.

The biometric recognition systems are described in the aforementioned manuscript and encompasses Gaussian mixture models, inter-session variability modelling, joint factor analysis and probabilistic linear discriminant analysis.

The databases considered are the following ones:

• BANCA
• AR face database
• Face Recognition Grand Challenge version 2
• The Good, The Bad and the Ugly
• Labeled Faces in the Wild
• Multi-PIE
• MOBIO
• CAS-PEAL
• NIST Speaker Recognition Evaluation 2012

These scores allow to replicate easily and quickly the plots of the manuscript by using the following package:
http://pypi.python.org/pypi/xbob.thesis.elshafey2014

Citation

If you use this dataset in your publication, we would appreciate that you cite the following thesis:

Laurent El Shafey, “Scalable Probabilistic Models for Face and Speaker Recognition”, PhD thesis, 2014.
http://publications.idiap.ch/index.php/publications/show/2830