UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 2 Issue 6
June-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1506021


Registration ID:
150445

Page Number

1804-1808

Share This Article


Jetir RMS

Title

FACE RECOGNITION USING PCA FOR REAL TIME APPLICATIONS

Abstract

Face Recognition concept is one of the successful and important applications of image analysis. It’s a holistic approach towards the technology and have potential applications in various areas such as Biometrics, Information society, Law enforcement and Surveillance, Smart cards, Access control etc. This paper provides an overview of real time application of Face Recognition concept by generating a matlab code using image acquisition tool box. The basic approach used is Principal Component Analysis using Eigen faces. Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary images. It detects facial features and ignores anything else, such as buildings, trees and bodies. We have implemented an efficient system to recognize faces from images with some near real-time variations. Our approach essentially was to implement and verify the algorithm. This method consist on weighting the difference between a given face image and a mean image, which is obtained by averaging a predefined set of faces. The training set is a group of face images from which the mean face is calculated. Face detection takes place by linearly projecting the image to a low dimensional image space and weighting the difference with respect to a set of eigenvectors.

Key Words

Eigen faces, Eigenvectors, Face recognition, Principal component analysis (PCA). Circular Hough Transform, Elliptical Hough Transform, Face segmentation.

Cite This Article

"FACE RECOGNITION USING PCA FOR REAL TIME APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 6, page no.1804-1808, June-2015, Available :http://www.jetir.org/papers/JETIR1506021.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FACE RECOGNITION USING PCA FOR REAL TIME APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 6, page no. pp1804-1808, June-2015, Available at : http://www.jetir.org/papers/JETIR1506021.pdf

Publication Details

Published Paper ID: JETIR1506021
Registration ID: 150445
Published In: Volume 2 | Issue 6 | Year June-2015
DOI (Digital Object Identifier):
Page No: 1804-1808
Country: GR. NOIDA, UTTAR PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003203

Print This Page

Current Call For Paper

Jetir RMS