UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAQ06018


Registration ID:
201670

Page Number

85-91

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Title

FACE RECOGNITION BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) EXTRACTORS

Abstract

Face recognition is one of the significant applications in the technology of biometric. It is generally used in the advanced application in computer field. In this paper, we are focuses on present state of the art in face recognition technologies on some traditional issues and apply some techniques to treat these problems. The advantage of this algorithm is used to solve the popular issues in face recognition i.e., light conditions and environmental factors that lead to the low-performance. In proposed algorithm, the groups of edge detection filters Sobel, Prewitt, and Roberts are used to juice edges of the faces in images. The new method is PCA to use as feature extractor of face recognition. By using PCA is to find the optimal faces vectors as the inputs to the classifier (NNMLP neural network). Results have revealed acceptable correct classification. We have used as data test set BIO-ID data base in the proposed system.

Key Words

MLPNN, PCA, PREWITT, ROBERTS

Cite This Article

"FACE RECOGNITION BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) EXTRACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.85-91, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06018.pdf

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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 BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) EXTRACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp85-91, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06018.pdf

Publication Details

Published Paper ID: JETIRAQ06018
Registration ID: 201670
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 85-91
Country: -, -, + .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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