A New Optimized Approach To Face Recognition Using EigenFaces

Dr. Sheifali Gupta; O.P.Sahoo; Ajay Goel; Rupesh Gupta

A New Optimized Approach To Face Recognition Using EigenFaces

Dr. Sheifali Gupta * §

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O.P.Sahoo

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Ajay Goel

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Rupesh Gupta

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§ Singhania University

A New Optimized Approach To Face Recognition Using EigenFaces

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Abstract

Eigenface approach is one of the simplest and most efficient methods for face recognition. In eigenface approach chosing the threshold, value is a very important factor for performance of face recognition. In addition, the dimensional reduction of face space depends upon number of eigenfaces taken. In this paper, an optimized solution for face recognition is given by taking the optimized value of threshold value and number of eigenfaces. The experimental results show that if the threshold value is 0.8 times of maximum value of minimum Euclidian distances of each image from other images, then maximum recognition rate is achieved. Also only 15% of Eigenfaces with the largest eigen values are sufficient for the recognition of a person. Best optimized solution for face recognition is provided when both the factors are combined i.e. 15% of eigenfaces with largest eigen values are selected and threshold value is chosen 0.8 times maximum of minimum Euclidean distances of each image from all other images, it will greatly improve the recognition performance of a human face up to 97%.

References

7 Cites in Article

Reference Format

Y Zhujie,Yu (1994). Face Recognition with eigenfaces‖.
D Jolly,S Shah (2008). Patil -Biometric Authentication based on Detection and Recognition of Multiple Faces in Image‖ UFL & JIITU.
E Lizama,D Waldoestl,B Nickolay (1997). An eigenfaces-based automatic face recognition system.
M Turk,A Pentland (1991). Face recognition using eigenfaces.
Pablo Navarrete,Javier Ruiz-Del-Solar (2002). ANALYSIS AND COMPARISON OF EIGENSPACE-BASED FACE RECOGNITION APPROACHES.
H Ekenel,J Stallkamp,H Gao,M Fischer,R Stiefelhagen (2007). Face Recognition for Smart Interactions.
K Karande,S (2007). Talbar -Simplified and modified approach for face recognition using PCA‖ IET-UK International Conference on Information and Communication Technology in Electrical Sciences.

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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. Sheifali Gupta, O.P.Sahoo, Ajay Goel, Rupesh Gupta. . "A New Optimized Approach To Face Recognition Using EigenFaces". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 1).

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GJCST Volume 10 Issue 1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 10, 2010
Peer Review Double Blind
Handling Editor
Accepted February 28, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

July 10, 2010

Language

English

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Article Matrices

Total Score: 149

Country: Unknown

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Sheifali Gupta, O.P.Sahoo, Ajay Goel, Rupesh Gupta (PhD/Dr. count: 1)

View Count (all-time): 278

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Publish Date: 2010 03, Mon

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Total Views: 4.3K

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