A short overview of feature extractors for knuckle biometrics

Abstract

In this paper an overview of image processing methods for feature extraction applied to knuckle biometrics also termed as FKP (finger-knuckle-print) is presented. Knuckle is a part of hand, and therefore, is easily accessible, invariant to emotions and other behavioral aspects (e.g. tiredness) and most importantly is rich in texture features which usually are very distinctive. In this paper a short overview of the known recent approaches to human identification on the basis of knuckle images is given. © Springer International Publishing Switzerland 2013.