IREX IX part two:

Abstract

Specific hardware and software products identified in this report were used in order to perform the evaluations described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. Caution is advised when attempting to extrapolate numerical results from this evaluation to arbitrary applications. This evaluation measures performance over a particular test dataset collected under specific environmental conditions with specific hardware. It is difficult to predict how changing any of these parameters might affect performance. Institutional Review Board The National Institute of Standards and Technology Human Subjects Protection Office (HSPO) reviewed the protocol for this project and determined it is not human subjects research as defined in Department of Commerce Regulations, 15 CFR 27, also known as the Common Rule for the Protection of Human Subjects (45 CFR 46, Subpart A).

Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples

“…Open-set identification, a "watchlist" task, differs from closed-set identification which lacks impostors or assumes no attacks. The accuracy measures for open-set identification can be summarized as follows [17,29,38]…”