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Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces

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IJCA Proceedings on National Conference on Digital Image and Signal Processing
© 2016 by IJCA Journal
NCDISP 2016 - Number 1
Year of Publication: 2016
Authors:
Madhavi Chhugani
Buchade P. B.

Madhavi Chhugani and Buchade P B.. Article: Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces. IJCA Proceedings on National Conference on Digital Image and Signal Processing NCDISP 2016(1):24-27, August 2016. Full text available. BibTeX

@article{key:article,
	author = {Madhavi Chhugani and Buchade P. B.},
	title = {Article: Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces},
	journal = {IJCA Proceedings on National Conference on Digital Image and Signal Processing},
	year = {2016},
	volume = {NCDISP 2016},
	number = {1},
	pages = {24-27},
	month = {August},
	note = {Full text available}
}

Abstract

Computerized security systems are gaining significant importance from identification and authentication point of view in various areas like entrance control in buildings; access control for computers in general or in the prominent field of criminal investigation. This has resulted in an increased interest in biometric systems which enables automatic, i. e. quick with little or no human intervention, identification and authentication of an individual by physical characteristics. Illumination variation is a known problem in such systems affecting the error rate of the entire system. A GUI (Graphical User Interface) system for face detection and recognition based on Principal Components is designed and the effect of varying surrounding illumination is studied in this paper. The person to be recognized is subjected to different light levels, measured using a standard Light Lux Meter.

References

  • L. Zhi-fang, Y. Zhi-sheng, A. K. Jain and W. Yun-qiong, 2003, "Face Detection And Facial Feature Extraction In Color Image", Proc. The Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03), pp. 126-130, Xi'an, China
  • Face Detection Using Color Thresholding, andEigenimage Template Matching" Diedrick Marius, Sumita Pennathur, and Klint Rose
  • Ming-Hsuan Yang and Narendra Ahuja "Detecting Human Faces in Color Images". Beckman Institute and Department of Electrical and Computer engineering University of Illinois at Urbana-Champaign.
  • W. Chen, T. Sun, X. Yang and L. Wang, 2009, "Face Detection Based On Half Face-Template", Proc. The Ninth International Conference on Electronic Measurement & Instruments ICEMI'2009, pp. 4-54-4-59, Beijing, China.
  • A. Rida and Dr BoukelifAoued, 2004, "Artificial Neural Network-Based Face Recognition", Proc. First International Symposium on Control, Communications and Signal Processing, pp. 439 – 442, Hammamet, Tunisia.
  • M. A. Turk and A. P. Pentland, "Face Recognition Using Eigenfaces", Proc. Of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591, June 1991.
  • Matthew Turk and Alex Pentland, "Eigenfaces for Recognition", Vision and Modeling Group, The Media Laboratory, MIT, In J. of cognitive neuroscience,1991, vol. 3,no. 1, pages 71 to 86.
  • www. mathworks. com
  • Madhavi Chhugani and Buchade P. B. "Graphical User Interface based system for Face Detection & recognition using skin color segmentation & Eigenfaces" communicated, National Conferencing on Mathematical Modelling & Soft Computing, Dept. of Computer Sci. , SPPU, Pune.