Face Recognition Methodologies Using Component Analysis: The Contemporary Affirmation of The Recent Literature

Face Recognition Methodologies Using Component Analysis: The Contemporary Affirmation of The Recent Literature

Dr. T.Archana

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Dr.T.Venugopal

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M.Praneeth Kumar

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α Kakatiya University

Face Recognition Methodologies Using Component Analysis: The Contemporary Affirmation of The Recent Literature

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Abstract

This paper explored the contemporary affirmation of the recent literature in the context of face recognition systems, a review motivated by contradictory claims in the literature. This paper shows how the relative performance of recent claims based on methodologies such as PCA and ICA, which are depend on the task statement. It then explores the space of each model acclaimed in recent literature. In the process, this paper verifies the results of many of the face recognition models in the literature, and relates them to each other and to this work.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. T.Archana. 2012. \u201cFace Recognition Methodologies Using Component Analysis: The Contemporary Affirmation of The Recent Literature\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F13): .

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GJCST Volume 12 Issue F13
Pg. 33- 48

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Face recognition ICA LDA LPP PCA

Submission ReceivedFebruary 5, 2012
Peer Review Double Blind
Handling Editor
Accepted March 1, 2012
Published March 15, 2012

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October 22, 2012

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. T.Archana, Dr.T.Venugopal, M.Praneeth Kumar (PhD/Dr. count: 2)

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