A Study on Different Descriptors and Classifiers for Face Recognition
Journal: International Journal of Scientific Engineering and Science (Vol.1, No. 2)Publication Date: 2017-03-15
Authors : Shehina.T; Almaria Joseph;
Page : 38-42
Keywords : Classifiers; face detection; face recognition; feature descriptors; feature-invariant; multi scale vector.;
Abstract
Feature descriptors and classifiers are technique used in face recognition. Face recognition is a computer vision application significant to a man can recognize or confirming from a propelled picture or video from a video source.one of the best approach to do this is by looking at chose facial elements from the picture and a face database and is additionally utilized as a part of security frameworks. The feature descriptors are an algorithm by taking image and its outputs. Feature descriptors can be classified into different type based on their texture, color, frequency etc. Also face recognition technique used different classifier to extract the useful information from images to solve the problems in image processing. This paper is organized as three sections. Face recognition technique and algorithms described in the first section. The second section describes different types of feature descriptors and finally third section describes a comparative study of different classification methods.
Other Latest Articles
- KNOWLEDGE AS INVESTMENT IN HUMAN RESOURCES TO INCREASE THE COMPANY SUCCESS
- RELIGION, CHURCH, INTIMATE CITIZENSHIP AND GENDER EQUALITY (An Analysis of Differences in Gender Equality Policies in European Catholic Countries)
- A Survey on Multi-Criteria Based Optimizations in the Routing of Electric Vehicles
- ADAPTATION AND PROGRESS THROUGH CHANGE MANAGEMENT
- Effect of Sand, Ash and Soil on Photovoltaic Performance: An Experimental Study
Last modified: 2017-07-04 14:33:51