A Comparison of Photometric Normalisation Algorithms for Face Verification

The variation of illumination conditions of an object can produce large changes in the image plane, significantly impairing the performance of face verification algorithms. We present a comparison of five photometric normalisation algorithms for use in pre-processing face images for the purpose of verification. The algorithms are tested on various configurations of three contrasting databases, namely the Yale B database, the XM2VTS database and the BANCA database.

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: James Short, Josef Kittler, Kieron Messer
• Keywords: Biometrics, Face Verification Algorithms, FGR 2004, Photometric Normalisation Algorithms, Pre-processing Face Images