Classification of Components of Face Using Texture Feature
Main Authors: | Naveena M, G Hemantha Kumar |
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Format: | Article eJournal |
Terbitan: |
, 2019
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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.