Former

Abstract: Texture Analysis has been an active area of research over the past twenty five years. Today, texture analysis plays an important role in many tasks ranging from remote sensing to bio-medical image analysis. Textures, the repeated patterns, have different frequency components along different orientations. Texture analysis is important in many applications like image database retrieval, industrial, agricultural and bio-medical applications. Texture analysis and classification are based on three different approaches; statistical, spectral and structural. We have proposed statistical approaches for analyzing the faces of twins and the components on the faces