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

… uses high-resolution latent palmprints collected in crime scenes for forensic investigation. …
traditional face recognition methods on very challenging unconstrained benchmarks such as …

… only one stage of the palmprint recognition pipeline. It includes … of palmprint recognition to
focus on unconstrained acquisition … [25] who recorded videos of palmprints with a smartphone, …

… palmprint databases unfold the superiority of our algorithms – the palmprint identification
accuracy … palmprint recognition in outdoor scenes [51] – it adopted faster R-CNN to locate the …

… to learn the intra-class-invariant palmprint features for unconstrained palmprint recognition.
… imaging device to capture palmprint images under unconstrained scenes for palmprint …

… palmprint images collected under unconstrained conditions, which is essential for realizing
palmprint recognition … series of videos in unconstrained indoor and outdoor scenes and then …

… the ease with which a palmprint can be authenticated by simply … survey on touchless palmprint
recognition on mobile devices … , having as background the poster with complex scenes. …

… Database (SMPD) [16], both released in 2019, are two partially constrained mobile databases
for palmprint recognition. Both datasets have an unconstrained background. SMPD is …

… for palmprint recognition to realise reliable person authentication under contactless and
unconstrained … ADE20K is a scene recognition dataset that consists of 22,210 landscape images …

… palmprint recognition algorithms are often too heavy to meet the real-time requirements of
embedded system. In this article, a new palmprint … smartphones in an unconstrained manner. …