Several important pattern recognition applications are based on feature extraction and vector clustering. Directional patterns may be represented by rotation-variant directional vectors, formed from M features uniformly extracted in M directions. It is often required that pattern recognition algorithms are invariant under pattern rotation or, equivalently, invariant under circular shifts of suc...

Head and Shoulder pattern is a well-known technical trading strategy. However, what exactly constitutes a Head and Shoulder pattern under time series is sometimes ambiguous. In this thesis, we show how this pattern can be rigorously defined by using Directional Change. Directional Change is a new way to summarise price changes in the market. It records a transaction price only when the market h...

-In this paper proposed a method for extracting Contrast, Correlation, Energy, and, Local homogeneity features on Central Local Directional Pattern Value Flooding Matrix for face recognition. Local Directional Pattern is computed on the image and then Central Local Directional Pattern Value Flooding Matrix is formed, and on this matrix Contrast, correlation, energy and homogeneity features are ...

In this paper, we propose an illumination-robust face recognition system via local directional pattern images. Usually, local pattern descriptors including local binary pattern and local directional pattern have been used in the field of the face recognition and facial expression recognition, since local pattern descriptors have important properties to be robust against the illumination changes...

Directional evolution is one of the most compelling evolutionary patterns observed in macroevolution. Yet, despite its importance, detecting such trends in multivariate data remains a challenge. In this study, we evaluate multivariate evolution of shell shape in 93 bivalved scallop species, combining geometric morphometrics and phylogenetic comparative methods. Phylomorphospace visualization de...

Directional features have been successfully used for the recognition of both machine-printed and handwritten Kanji characters for the last decade. This paper attempts to explain why the directional features are effective. First, the advances of directional features and related methods are briefly reviewed. Then the properties that the similarity measure should hold are discussed and simulation ...

This paper presents a novel feature descriptor termed principal component analysis (PCA)-based Advanced Local Octa-Directional Pattern (ALODP-PCA) for content-based image retrieval. The conventional approaches compare each pixel of an with certain neighboring pixels providing discrete information. proposed in this work utilizes the local intensity all eight directions its neighborhood. octa-dir...