Jun 20, 2015 · This paper presents an appearance-based facial feature descriptor based on the gradient directional pattern (GDP) for gender classification ...

In this paper, we propose to use gradient directional pattern (GDP) and principal component analysis (PCA) to represent facial texture for gender classification.

Experimental analysis on a large database comprising 1800 facial images shows promising results for the proposed method, as compared to some well-known ...

This paper presents an appearance-based facial feature descriptor based on the gradient directional pattern (GDP) for gender classification from face images ...

ABSTRACT: A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color ...

Bibliographic details on Gender Classification from Face Images Based on Gradient Directional Pattern (GDP).

A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity ...

A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity ...

A novel texture descriptor Local Directional Pattern (LDP) is presented to represent facial image for gender classification and shows the superiority of the ...