ISSN: 2349-5162

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

Unique Identifier

JETIR1811050

Page Number

377-381

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Title

Frontal Human Face Recognition Using PCA Technique

ISSN

2349-5162

Cite This Article

"Frontal Human Face Recognition Using PCA Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.377-381, November-2018, Available :http://www.jetir.org/papers/JETIR1811050.pdf

Abstract

This work deals with Principal Component Analysis (PCA) based technique, to be specific eigen face strategy is considered and implemented on the Faces 94 database. This methodology regards face recognition as a two-dimensional recognition issue. Face images are anticipated onto a face space that encodes best variety among known face images. The face space is characterized by Eigen faces which are eigen vectors of the arrangement of faces, which may not compare to general facial highlights, like; eyes, lips and nose. Face will be arranged as known or obscure face in the wake of coordinating with the present database, Simulation results shows an accuracy of above 98% and this can be recognizes one image approximately within 0.5 sec.

Key Words

Face recognition, Principal component analysis (PCA), Eigen vectors, Eigen values, Eigen faces.

Cite This Article

"Frontal Human Face Recognition Using PCA Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp377-381, November-2018, Available at : http://www.jetir.org/papers/JETIR1811050.pdf

Publication Details

Published Paper ID: JETIR1811050
Registration ID: 190993
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 377-381
ISSN Number: 2349-5162

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Cite This Article

"Frontal Human Face Recognition Using PCA Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp377-381, November-2018, Available at : http://www.jetir.org/papers/JETIR1811050.pdf




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