… and feature extraction in order to produce high recognition … features in a single pixel,
computational efficiency of feature … Splitting (AOS) input image non-linear scale space and …

… the feature point pair patterns using a non-linear deformation … region quality based minutia
feature extraction, and minutia feature … for palmprint identification as well as the efficiency and …

… Palmprint recognition is an important and widely used modality … and effective ensemble
classifier for palmprint recognition based … Finally, the non-linear decision function is obtained and …

… based on a revised form of x-signature [9] method, followed by a novel region quality-based
robust palmprint minutiae feature extraction algorithm… using a non-linear deformation model. …

… method allows for capturing the non-linear and non-uniform … After feature extraction, the
image p yields a set of positional … Palm vein samples are extracted from palmprint images …

… methods of single palmprint feature extraction are introduced. In … feature space and has no
general scheme for non-linear … for the loss of effective recognition information caused by 2D …

… This method was developed to be a solution for non-linear … efficient algorithms so that
they can provide good performance. … The feature extraction method used in this paper is the …

… In this research, we propose our palm print recognition … is a technique for processing non-linear
that relies on statistics. The … Feature extraction is the core of the identification system. The …

… effective choice for human recognition [2]. Palmprint feature has a wealth of information that
… and then calculates the standardized Hessian matrix for non-linear scales. Then detect 2D …

… to deal with non-linear distortion between palmprint images. … edge detection to carry out the
feature extraction of palm print… effective algorithm to improve the precision of the orientation …