Classification of Components of Face Using Texture Feature

Main Authors: Naveena M, G Hemantha Kumar
Format: Article eJournal
Terbitan: , 2019
Subjects:
Online Access: https://zenodo.org/record/3987086
Daftar Isi:
  • The goal of this paper is to classify the component of texture feature of the face. The face image is a type of texture that can be represented using texture descriptors. This concept is used in changes of pose and different illuminations are used to detect components of face using Viola-Jones algorithm. A local region is represented by its center pixel, and center pixels represent the image in gray level then the gray level image is converted into binary code. In K- nearest neighbor classification the output belongs to the class. An object is classified by a majority vote of its neighbors, and the object is assigned to the most common among its k nearest neighbors.