A Novel Approach for Recognition of Human Faces
Date of Original Version
Abstract or Table of Contents
This paper attempts to describe the effect of various parameters on the facial image recognition. We considered method which is concerned with representation and recognition of images using principal component analysis. The parameter which plays the role in the representation is resolution of image and pose of human face. The recognition process gets affected with eigen vector, no of training and testing sample, type of classifier etc. We use Euclidean distance and Mahalanobis distance classifier for our experiments. We found very promising result using Euclidean classifier. The result of our system are optimal for 64x64 pixel image.