Various techniques in analyzing palmprint have been proposed but to the best of our
knowledge, none has been studied on the selection and division of the region-of-interest …

This paper analyzes the palmprint textures with a multi-resolution method. Texture feature
vectors of palmprint are extracted by wavelet transformation. With the texture feature, isodata …

Developing accurate and robust palmprint verification algorithms is one of the key issues in
automatic palmprint recognition systems. Recently, orientation based coding algorithms …

This paper presents a novel palmprint recognition method using Gabor wavelets and 2-
Dimensional Principal Component Analysis (2-DPCA) and PCA. Different from the Gabor …

Palmprint-based personal identification is regarded as an effective method for automatically
recognizing a person's identity. It is well-known for several advantages such as stable line …

Extraction of region of interest (ROI) from a palmprint considerably improves the efficiency of
identification systems as ROI extracted palmprint images have more entropy and require …

In this paper, we present two hashing based techniques for fast palmprint identification. We
first propose three properties required by a hash function and then introduce our first fast …

The palmprint has one special salient feature which is not salient in fingerprint. That is the
crease. In a palmprint the creases are large in number and comparatively easy to extract …

A novel method for palmprint recognition based on wavelet transform is presented in this
paper. Because palmprint's principal lines, wrinkles and ridges have characteristics of …

The major issues that involve in identifying palm print are the search for the templates in the
palm print database that best matches with the test sample from input. Here the fundamental …