… -art methods for palmprint recognition including Region of Interest … with an overview of
available palmprint datasets in order to … review of palmprint recognition to focus on unconstrained …

… This paper presents a novel real-time palmprint recognition … and recognizing palmprint
images under unconstrained scenes. … fast palmprint alignment, which aims to obtain normalized …

… article, we establish a new unconstrained palmprint database and propose deep distillation
… efficient deep palmprint recognition. First, using five different smartphones, a large palmprint …

… The Overall Framework In this paper, the structure of GoogLeNet [39] made up of 22 layers
is adopted for unconstrained palmprint recognition. The main characteristic of GoogLeNet …

… shallow representation of unconstrained palmprint images via … gaps of the intra-class
palmprint CROIs can be minimized in … palmprint features for unconstrained palmprint recognition. …

… unconstrained palmprint biometrics across a range of contemporary smartphones. There
is no specialized hardware and thus palmprint … devices in an unconstrained environment. …

… of palmprint recognition. In this article, by regularly sampling different local regions of the
palmprint … in the unconstrained or semiconstrained scenario [13]. If there are only one or two …

… face recognition methods on very challenging unconstrained benchmarks such as Labelled
Faces in the Wild (LFW) or YouTube Faces (YTF) with significant margins. In addition to face, …

… We perform experiments on two latest public unconstrained palmprint databases: XJTU-UP
[5] and MPD databases [6]. The XJTUUP database includes ten subsets collected by five …

… paper, we establish a new unconstrained palmprint database and propose Deep Distillation
… deep palmprint recognition. Firstly, using 5 different mobile phones, a large palmprint …