Sony Proposes Better ID with Multispectral Imaging

Sony paper "Skin-Based Identification From Multispectral Image Data Using CNNs" by Takeshi Uemori, Atsushi Ito, Yusuke Moriuchi, Alexander Gatto, and Jun Murayama presented at CVPR 2019 in Long Beach, CA, in June 2019 proposes an improvement of user ID with multi-spectral camera:

"User identification from hand images only is still a challenging task. In this paper, we propose a new biometric identification system based solely on a skin patch from a multispectral image. The system is utilizing a novel modified 3D CNN architecture which is taking advantage of multispectral data. We demonstrate the application of our system for the example of human identification from multispectral images of hands. To the best of our knowledge, this paper is the first to describe a pose-invariant and robust to overlapping real-time human identification system using hands. Additionally, we provide a framework to optimize the required spectral bands for the given spatial resolution limitations."