Multi-sample Compression of Finger Vein Images using H.265 Video Coding
Schorgnhofer Kevin, Sami Dafir, Andreas Uhl · 2019
A new video-compression based approach extending traditional biometric sample data compression techniques is evaluated in the context of finger vein recognition. The proposed scheme is implemented in HEVC / H.265 in different settings and compared to (i) compressing each sample individually with JPEG2000 according to ISO/IEC 19794-9:2011 and to (ii) compressing each users' data into an individual video file. Compression efficiency and implications on recognition accuracy are determined using 4 recognition schemes and 2 data sets, both based on publicly available data. Results obtained using the proposed approach are fairly stable across different recognition schemes and data sets and indicate a significant improvement over the current state of the art.