Most of the existing techniques for palmprint recognition are based on metrics that evaluate
the distance between a pair of features. These metrics are typically based on static functions …

Capturing high quality palmprint images in a very short time period is a fundamental step in
palmprint research. While a palmprint scanner capable of this function is especially …

In this paper, a palmprint identification and verification approach based on Pyramidal
Histograms of Oriented Gradients (PHOG) and fast tree based matching is presented. In the …

We introduce palmprint recognition, one of the most reliable personal identification methods
in the biometric technology. In this paper, a new approach to the palmprint matching by …

In this paper, a new texture feature set based on M-band wavelet analysis is proposed for
online palmprint identification. First, the central part of a palm was decomposed by M-band …

Biometric identification systems capture biometric (ie, fingerprint, palm, and iris) images and
store them in a central database. During identification, the query biometric image is …

A typical palmprint identification system identifies a query palmprint by matching it with the
templates in the database and comparing the similarity score with a pre-defined threshold …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

In recent years, palmprint recognition has made great progress and many methods have
been put forward. The extraction of robust orientation features and finding efficient matching …

Palmprint recognition is an active member of biometrics in recent years. State-of-the-art
algorithms of palmprint recognition describe appearances of palmprints efficiently through …