On Face Recognition using Gabor Filters

Authors: Al-Amin Bhuiyan, Chang Hong Liu

Abstract:

Gabor-based face representation has achieved enormous success in face recognition. This paper addresses a novel algorithm for face recognition using neural networks trained by Gabor features. The system is commenced on convolving a face image with a series of Gabor filter coefficients at different scales and orientations. Two novel contributions of this paper are: scaling of rms contrast and introduction of fuzzily skewed filter. The neural network employed for face recognition is based on the multilayer perceptron (MLP) architecture with backpropagation algorithm and incorporates the convolution filter response of Gabor jet. The effectiveness of the algorithm has been justified over a face database with images captured at different illumination conditions.

Keywords: Fuzzily skewed filter, Gabor filter, rms contrast, neural network.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076160

References:

[1] J.G. Daugman, "Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by Two-Dimensional Visual Cortical Filters", Journal of Optical Society America A, Vol. 2, No. 7, 1985, pp. 1160 - 1169.
[2] J. Buhmann, J. Lange, and C.V. Malsburg, "Distortion invariant object recognition by matching hierarchically labeled graphs", Procedings of International Conference on Neural Neural Networks, Washington DC, 1989, pp. 155-159.
[3] M. Lades, J.C. Vorbruggen, J. Buhmann , J. Lange, C.V. Malsburg, C. Wurtz and W. Konen, "Distortion invariant object recognition in the dynamic link architecture", IEEE Trans. Computers, Vol. 42, No. 3, 1993, pp. 300-311.
[4] L. Wiskott, J.M. Fellous, N. Kruger, and C.V. Malsburg, "Face recognition by elastic bunch graph matching", IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 7, 1997, pp. 775-779.
[5] C. Liu, and K. Wechsler, "Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition", IEEE Trans. Image Process., Vol. 11, No. 4, 2002, pp. 467-476.
[6] S. Shan, P. Yang, X. Chen and W. Gao, "AdaBoost Gabor Fisher classifier for face recognition", Proc. IEEE Int. Workshop Analysis and Modeling of Faces and Gestures, 2005, pp. 278-291.
[7] B. Zhang, S. Shan, X. Chen, W. Gao, "Histogram of Gabor phase patterns: a novel object representation approach for face recognition", IEEE Trans. Image Process., Vol. 11, No. 4, 2002, pp. 467-476.
[8] E. Peli, "Contrast in Complex Images", Journal of Optical Society, Vol. 7, No. 10, 1990, pp. 2032-2040.
[9] Y. Tae-Woong, and O. Il-Seok, "A fast algorithm for tracking human faces based on chromatic histograms", Pattern Recognition Letters, Vol. 20, No. 10, 1999, pp. 967-978.
[10] J. Jantzen, "Tutorial on Fuzzy Logic", www.iau.dtu.dk/~jj/pubs/logic.pdf.
[11] T. Andrysiak, and M. Choras, "Image retrieval based on hierarchical Gabor filters", International Journal of Mathematics and Computer Science, Vol. 15, No. 4, 2005, pp. 471-480
[12] M. Zhou, and H. Wei, "Face verification using Gabor Wavelets and AdaBoost", 18th International conference on Pattern Recognition, 2006, pp. 404-407.
[13] T.Sim, S. Baker and M. Bsat, "The CMU Pose Illumination and Expression (PIE) Database", Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition, 2002.