Local Binary Patterns (LBP) are extensively used to analyze local texture features of an
image. Several new extensions to LBP-based texture descriptors have been proposed …

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 …

In this paper, a recently developed local feature descriptor, namely directional local binary
patterns (DLBP), was first proposed for palmprint recognition. Compared with local binary …

Several human being traits can be used as a robust and distinctive identifier for a given
person. The palm region of the hand is one of these features that researchers in biometric …

State-of-the-art palmprint recognition algorithms achieve high accuracy based on
component based texture analysis. However, they are still sensitive to local variations of …

Palmprint recognition system is a promising biometric technology which received extremely
large interest of researches. Many different algorithms and systems have been proposed …

Fusing multiple features within one biometric modality has attracted increasing attention and
interest among researchers during recent decades because the concept is useful in …

Recent researches have shown that the texture descriptor local tri‐directional patterns
(LTriDP) performs well in many recognition tasks. However, LTriDP cannot effectively …

This manuscript presents, palmprint recognition by combining different texture extraction
approaches with high accuracy. The Region of Interest (ROI) is decomposed into different …

In the last few years, most works on palmprint recognition systems have been focused on
developing a practical system that should have high performance in term of recognition …