ERROR PROTECTION OF PCA BASED FACE RECOGNITION FOR TRANSMISSION OVER NOISY CHANNELS

Abstract

In this paper, we have proposed a system for reliable communication of coded grayscale facial images over noisy channels. Principle Component Analysis (PCA) is used for face dimensional reduction and face recognition and Repeated Bit Representation (RBR) is proposed to code the eigenfaces for mobile communication applications. Recognition obtained with RBR system approach reaches to %82 for 80 test images (2 poses per person) and 320 training images (8 poses per person) of ORL, by considering only the most important 30 coefficients of principle components in a noisy channel with SNR=-2dB

Keywords

• PCA, Majority Voting, Repeated Bit Representation, Image Communication

References

1. Hariti, “Low complexity hyperspectral image coding using exogenous orthogonal optimal spectral transform (OrthOST) and degree-2 zerotrees”, IEEE Transaction of Geoscience and Remote Sensing, 2010, DOI: 1109/TGRS.2010.2083671
2. “Decimation-interpolation structures for image communications and improvement using the lifting scheme”, IEEE Transaction on Consumer Electronics, Vol. 56, Issue, 4, 2010, pp. 2669-2677.
3. Recognition Using Eigenfaces,”, Journal of cognitive Neuroscience, Vol. 3, No. 1, 1991, pp. 72-86. and A. Rosenfeld, “Face recognition: A literature survey”, ACM Computing Surveys, Vol. 35, Issue: 4, 2003.
4. “Progressive Image Coding for Noisy Channels”, IEEE Signal Processing Letter, Vol. 4, 1997, pp. 198-191.
5. “Unequal Error Protection Using Convolutional Codes for PCA-Coded Images", Lecture Notes in Computer Science, Vol. , Sep. 2005, pp. 335-342.
6. Control Coding, 2nd ed., New Jersey: Pearson Prentice Hall, 2004.
7. LDA based Neural Networks for Human Face Recognition", Face Recognition, by Kresimir Delac and Mislav Grgic, I-Tech Education and Publishing, Chap. 6, 2007, ISBN 978-3- 03-5, pp. 93-106. random variables, and Stochastic Processes,
8. McGraw-Hill, 0073660116, New York. comprehensive foundation, 1999, Prentice Hall, 0-13-273350-1, New Jersey.

9. Retrieved January 8, 2011, from http://www.cl.cam.ac.uk/research/dtg/attarchiv e/facedatabase.html dimensional procedure for the characterization of human face”, Journal of Optical Society of America, Vol. 4, 1987, pp. 519-524.
10. Communication over Wireless Channels”, IEEE Communications Magazine, November “Unequal Error Protection Using Convolutional Codes for PCA-Coded Images", th IEEE Conference on Signal Processing and Communications Applications, 2005, pp. 335.