… of efficient and accurate feature descriptors is critical for … feature descriptor, referred to as
DoN, for the 2D palmprint matching. The descriptor is extracted for each point on the palmprint. …

… of each vectored palmprint image sample. The main purpose of this article is to develop an
LSR model that can perform noise correction and feature extraction from the palmprint image. …

… analyse various LBP-like texture descriptors that are used as local feature extractors. In
Section 4, we provide the architecture of the palmprint recognition system adopted in this study. …

… ) learning method for palmprint recognition. Specifically, for each palmprint image, we first
calculate the convolutions of the direction-based templates and palmprint and form the informa…

… palmprint images and contactless palmprint images are specially referred to the low-resolution
palmprint images. … It first extracted the SIFT descriptors from contactless palmprint images …

… power of different feature combinations and find that density is very useful for palmprint
recognition. Experimental results on the database containing 14,576 full palmprints show that the …

… histogram feature vectors as the feature descriptors for palmprint representation. Specifically,
… a palmprint image, we first calculate the triple feature code maps of the palmprint image. …

… The three proposed shape features are maximum depth of palm center, horizontal cross-…
of 3-D palm-print horizontal cross section of different levels. We treat these features as a column …

… reviewed those features used for latent palmprint identification… that allows for a fair comparison
of minutiae-based features. … feature description, and the similarity score of the descriptors, …

… In this study, coding techniques that are commonly used palmprint recognition … of lowresolution
images taken in unconstrained environments created and palmprint patterns obtained …