Palm vein database and experimental framework for reproducible research

Abstract

A palm vein database acquired by a contactless sensor together with an experimental framework freely available for fair reproducible research purposes are described. The palm vein recognition system uses automatic palm region segmentation and circular Gabor filter approach to enhance the veins in the preprocessing, LBP features and histogram intersection as matching. Results are presented comparing two automatic segmentation using the ROI-1 region proportioned by the acquisition sensor and the ROI-2 region generated by the recognition software developed. Complete benchmark results using popular methods and the source code are attached to the database as a reference for other researchers.