Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification

Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification

A New Approach for Face Recognition and Age Classification using LDP

The present paper proposes a novel local texture features on facial images that recognise facial images based on the Morphological primitive patterns with grain components (MPP-g) on a Local Directional Pattern (LDP). A LDP feature is obtained by computing the edge response values in all eight directions at each pixel position and generating a code from the relative strength magnitude. The loca...

Texture Classification Based On Integrated Method

The present paper proposes a novel way of extracting local texture features based on the Morphological Primitive Patterns with grain components (MPP-g) on texton based Local Directional Pattern (LDP) for effective stone texture classification. To reduce the dimensionality, the proposed research used Integrated Logical Compact LDP with OR operation on Textons (ILCLDP-T). Mathematical Morphology ...

Motif Patterns Based Age Group Classification on LDP

Facial expression recognition is a research issue. An Age classification is one of a facial expression recognition system and it is based on facial representation from human face images. In this paper we are using classification system for gray-scale facial images. The present paper proposes procedure for extracting the local texture features on a facial image. In this paper, the Motif Patterns...

Automatic Face Recognition via Local Directional Patterns

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...