Comparison of Different Algorithm for Face Recognition

Hemant Makwana

Comparison of Different Algorithm for Face Recognition

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Comparison of Different Algorithm for Face Recognition

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Abstract

This paper is about the different algorithms which are used for face recognition. There are so many algorithms which are available for face recognition .There are two approaches by which the face can be recognize i.e. face Geometry based and face appearance based. The appearance based technique is also sub divided into two technique i.e. local feature and global feature based. The technique of local feature based are Discrete Cosine Transform (DCT).In this paper we study the two global features (holistic) appearance based algorithm i.e. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) in which every face image is converted into 1D, we are using 1D for all the calculation and then compare these two algorithm with the help of FAR (False Acceptance Rate),FRR (False Rejection Rate),Time, Memory and checks which algorithm gives the better result.

References

12 Cites in Article

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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

Hemant Makwana, hemanturl. 2014. "Comparison of Different Algorithm for Face Recognition". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F9).

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GJCST Volume 13 Issue F9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

euclidean distance false acceptance rate false rejection rate linear discriminant analysis principle component analysis scatter matrix

Classification

GJCST-F Classification I.4.8

Submission ReceivedDecember 11, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published February 3, 2014

Version of record

v1.2

Issue date

February 3, 2014

Language

English

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Article Matrices

Total Score: 102

Country: India

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

Authors: Hemant Makwana, Taranpreet Singh (PhD/Dr. count: 0)

View Count (all-time): 567

Total Views (Real + Logic): 2408

Total Downloads (simulated): 135

Publish Date: 2013 01, Tue

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Total Views: 2.4K

Total Downloads: 135

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