Preprocessing Technique for Face Recognition Applications under Varying illumination Conditions

Preprocessing Technique for Face Recognition Applications under Varying illumination Conditions

Dr. S.Anila

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Dr.N.Devarajan

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Anna University, Chennai

Preprocessing Technique for Face Recognition Applications under Varying illumination Conditions

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Abstract

In the last years, face recognition has become a popular area of research in computer vision, it is typically used in network security systems and access control systems but it is also useful in other multimedia information processing areas. Performance of the face verification system depends on many conditions. One of the most problematic is varying illumination condition. In this paper, we discuss the preprocessing method to solve one of the common problems in face images, due to a real capture system i.e. lighting variations. The different stages include gamma correction, Difference of Gaussian (DOG) filtering and contrast equalization. Gamma correction enhances the local dynamic range of the image in dark or shadowed regions while compressing it in bright regions and is determined by the value of γ. DOG filtering is a grey scale image enhancement algorithm that eliminates the shadowing effects. Contrast equalization rescales the image intensities to standardize a robust measure of overall intensity variations. The technique has been applied to Yale-B data sets, Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 and a real time created data set.

References

23 Cites in Article

Reference Format

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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. S.Anila. 2012. \u201cPreprocessing Technique for Face Recognition Applications under Varying illumination Conditions\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F11): .

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GJCST Volume 12 Issue F11
Pg. 13- 18

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Contrast Equalization Dog Filtering Face recognition Gamma Correction Illumination Image Preprocessing

Submission ReceivedFebruary 12, 2012
Peer Review Double Blind
Handling Editor
Accepted March 2, 2012
Published March 15, 2012

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v1.2

Issue date

July 31, 2012

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Article Matrices

Total Score: 112

Country: India

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

Authors: Dr. S.Anila, Dr.N.Devarajan (PhD/Dr. count: 2)

View Count (all-time): 242

Total Views (Real + Logic): 10600

Total Downloads (simulated): 2711

Publish Date: 2012 07, Tue

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Total Views: 10600

Total Downloads: 2711

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