Abstract
In this paper, a novel representation called the subband face is proposed for face recognition. The subband face is generated from selected subbands obtained using wavelet decomposition of the original face image. It is surmised that certain subbands contain information that is more significant for discriminating faces than other subbands. The problem of subband selection is cast as a combinatorial optimization problem and genetic algorithm (GA) is used to find the optimum subband combination by maximizing Fisher ratio of the training features. The performance of the GA selected subband face is evaluated using three face databases and compared with other wavelet-based representations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.: Face recognition: A literature survey (2000)
Chellappa, R., Wilson, C.L., Sirohey, S.: Human and machine recognition of faces: A survey. Proc. of the IEEE 83, 705–740 (1995)
Tolba, A.S., El-Baz, A.H., El-Harby, A.A.: Face recognition: A literature review. Int. Journal of Signal Processing 2, 88–103 (2005)
Kanwisher, N.: Domain specificity in face perception. Nature neuroscience 3, 759–776 (2000)
Liu, J., Harris, A., Kanwisher, N.: Stages of processing in face perception: an MEG study. Nature neuroscience 5, 910–916 (2002)
Gross, R., Baker, S., Matthews, I., Kanade, T.: Face recognition across pose and illumination. In: Li, S.Z., Jain, A.K. (eds.) Handbook of Face Recognition, Springer, Heidelberg (2004)
Lee, J., Machiraju, R., Pfister, H., Moghaddam, B.: Estimation of 3d faces and illumination from single photographs using a bilinear illumination model. In: Proc. Eurographics Symposium on Rendering (EGSR) (2005)
Lee, K.C., Moghaddam, B.: A practical face relighting method for directional lighting normalization. In: Int. Workshop on Analysis and Modeling of Faces and Gestures (AMFG) (2005)
Zhang, L., Samaras, D.: Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics. IEEE Tran. on Pattern Analysis and Machine Intelligence 28, 351–363 (2006)
Garcia, C., Zikos, G., Tziritas, G.: Wavelet packet analysis for face recognition. Image and Vision Computing 18, 289–297 (2000)
Chien, J.T., Wu, C.C.: Discriminant waveletfaces and nearest feature classifier for face recognition. IEEE Tran. on Pattern Analysis and Machine Intelligence 24, 1644–1649 (2002)
Zhang, B.L., Zhang, H., Ge, S.S.: Face recognition by applying wavelet subband representation and kernel associative memory. IEEE Tran. on Neural Networks 15, 166–177 (2004)
Ekenel, H.K., Sankur, B.: Multiresolution face recognition. Image and Vision Computing 23, 469–477 (2005)
Pathangay, V., Das, S.: Exploring the use of selective wavelet subbands for PCA based face recognition. In: Proc. National Conference on Image Processing (NCIP 2005), Bangalore, India, pp. 182–185 (2005)
Liu, C., Weschler, H.: Evolution of optimal projection axes (opa) for face recognition. In: Proc. 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 282–287 (1998)
Liu, C., Weschler, H.: Evolutionary pursuit and its application to face recognition. IEEE Tran. on Pattern Analysis and Machine Intelligence 22, 570–582 (2000)
Zhang, X., Mersereau, R.M., Broun, C.C.: Visual speech feature extraction for improved speech recognition. In: Proc. of the Int. Conf. on Acoustics Speech and Signal Processing, Orlando, Florida, USA, pp. 1993–1996 (2002)
Yi-qiong, X., Bi-Cheng, L., Bo, W.: Face recognition by fast independent component analysis and genetic algorithms. In: Proc. 4th Int. Conf. on Computer and Information Technology, pp. 194–198 (2004)
Karungaru, S., Fukumi, M., Akamatsu, N.: Face recognition using genetic algorithm based template matching. In: Proc. Int. Symposium on Communications and Information Technologies, pp. 1252–1257 (2004)
Zhao, Q., Lu, H., Zhang, D.: A fast evolutionary pursuit algorithm based on linearly combining vectors. Pattern Recognition 39, 310–312 (2006)
Yankun, Z., Chongqing, L.: Face recognition using kernel principal component analysis and genetic algorithms. In: Proc. 12th IEEE Workshop on Neural Networks for Signal Processing, pp. 337–343 (2002)
Wang, X., Qi, H.: Face recognition using optimal non-orthogonal wavelet basis evaluated by information complexity. In: Proc. 16th Int. Conf. on Pattern Recognition, vol. 1, pp. 164–167 (2002)
Mallat, S.G.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Tran. on Pattern Analysis and Machine Intelligence 11, 674–693 (1989)
Fliege, N.J.: Multirate Digital Signal Processing. John Wiley and Sons, Ltd, Chichester (2004)
Jensen, A., Cour-Harbo, A.: Ripples in Mathematics: The Discete Wavelet Transform. Springer, Heidelberg (2003)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Sim, T., Baker, S., Bsat, M.: The CMU pose, illumination, and expression database. IEEE Tran. on Pattern Analysis and Machine Intelligence 25, 1615–1618 (2003)
Turk, M.A., Pentland, A.: Face recognition using eigenfaces. In: Proc. 11th Int. Conf. Pattern Recognition, pp. 586–591 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pathangay, V., Das, S. (2006). Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition. In: Kalra, P.K., Peleg, S. (eds) Computer Vision, Graphics and Image Processing. Lecture Notes in Computer Science, vol 4338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949619_52
Download citation
DOI: https://doi.org/10.1007/11949619_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68301-8
Online ISBN: 978-3-540-68302-5
eBook Packages: Computer ScienceComputer Science (R0)