… 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 …

… 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 …

… 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 …

… feature extraction methods that are used to extract features … value obtained by Palm-Print
using the non-linear SVM which … ), it can be seen that palm-print outperforms the hand-vein for …

… Palm print recognition systems are one of the efficient people … match the Palm print beside
the features extraction methods that … Xiang, “A hybrid non-linear time-varying double-weighted …

… , have emerged as one of the most effective feature extraction techniques. Despite a period
of … These extreme responses are then fed to linear and non-linear operators to quantitatively …

… including enhancement, feature extraction and matching to … resolution, an efficient and
cost-effective palmprint identification … area can result in non-linear distortion of ridge frequency. …