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 …

In this paper, a noise-robust palmprint recognition system is discussed with a novel feature
extraction technique: two-dimensional Cochlear transform (2D-CT) based on the textural …

Image thresholding methods are commonly used to distinguish foreground objects from a
background. 2D thresholding methods consider both the value of a pixel and the mean of …

We initiate a computational theory of statistical tests. Loosely speaking, we say that an
algorithm is a statistical test if it rejects a\negligible" fraction of strings. We say that a …

This paper proposes an efficient approach for automatic palmprint classification based on
principle lines that consist of a life line, a head line and a heart line. The extracted principle …

Palmprint is one of the relatively new physiological biometrics due to its stable and unique
characteristics. Palmprint based biometric approaches possess several advantages over …

We propose an online palmprint identification and verification algorithm with the use of
kernel Fisher discriminant analysis (KFD) on the Gabor wavelet representation of palm …

Biometric person recognition systems are increasingly being used to enhance the security of
physical and logical security systems. Palmprint and finger knuckle print recognition have …

An exhaustive investigation of the performance of the orthogonal moments in reconstructing
biomedical images is presented in this paper. The most well known orthogonal moment …