A novel Gabor-based kernel principal component analysis (PCA) method by integrating the
Gabor wavelet representation of palm images and the kernel PCA method for palmprint …

This work based on fusion of multi-algorithm used for palmprint identification system. This
piece of work is primary addressing different mechanism like Competitive Valley Hand …

Personal authentication based on palmprint features has been attracting extensive attention
currently. In many palmprint based recognition approaches, major issue is textural analysis …

Local binary pattern (LBP) algorithm and its variants have been used extensively to analyse
the local textural features of digital images with great success. Numerous extensions of LBP …

Two-dimensional principal component analysis (2DPCA) is a novel image representation
approach recently developed for image recognition. One characteristic of 2DPCA is that it …

Efficient feature extraction strategies play an important role in palmprint recognition systems.
Among various feature extraction methods, orientation methods such as Competitive Code …

Computational intelligence (CI) technologies are robust, can be successfully applied to
complex problems, are efficiently adaptive, and usually have a parallel computational …

Over the past two decades, researchers in the field of biometrics have presented a wide
variety of coding-based palmprint recognition methods. These approaches mainly rely on …

In the palmprint recognition application utilizing more information other than principle lines
or minutiae is much helpful. In this paper we proposed Discrete Cosine Transform (DCT) …

There are increasing requirements for mobile personal identification, eg to protect identity
theft in wireless applications. Based on built-in cameras of mobile devices, palmprint images …