A Novel Face Recognition Algorithm using PCA

The PCA based face recognition algorithm has short-comings like sensitivity to illumination, facial expressions and importantly, not taking into consideration the high level features of the face among others. The discrete wavelet transformation of an image helps enhance the high frequency content and smoothen the lower frequencies. The primary objective of this paper is to present a generic algorithm which utilizes the advantages of the wavelet transformation complimenting it with base-line PCA. General Terms Face Recognition, PCA, Wavelets.

[1]  Jian Yang,et al.  From image vector to matrix: a straightforward image projection technique - IMPCA vs. PCA , 2002, Pattern Recognit..

[2]  M. Younus Javed,et al.  Discrete cosine transform (DCT) based face recognition in hexagonal images , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[3]  Alex Pentland,et al.  Recognition in face space , 1991, Other Conferences.

[4]  G..  A Theory for Multiresolution Signal Decomposition : The Wavelet Representation , 2004 .

[5]  Carl D. Meyer,et al.  Matrix Analysis and Applied Linear Algebra , 2000 .

[6]  Usha Sinha,et al.  Principal component analysis for content-based image retrieval. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[7]  James Lee Hafner,et al.  Efficient Color Histogram Indexing for Quadratic Form Distance Functions , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  LinLin Shen,et al.  Combining Wavelets with HMM for Face Recognition , 2003, SGAI Conf..

[9]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[10]  Yee-Hong Yang,et al.  Face recognition approach based on rank correlation of Gabor-filtered images , 2002, Pattern Recognit..

[11]  Majid Nili Ahmadabadi,et al.  Face recognition using reinforcement learning , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[12]  Bruce A. Draper,et al.  ANALYSIS OF PCA-BASED AND FISHER DISCRIMINANT-BASED IMAGE RECOGNITION ALGORITHMS , 2000 .

[13]  Lawrence Sirovich,et al.  The global dimensionality of face space , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[14]  Anil K. Jain,et al.  Handbook of Face Recognition, 2nd Edition , 2011 .

[15]  Dr.R. Rani Hema Malini,et al.  Efficient Identification System Using Wavelet Transform and Average Half-Face , 2011 .

[16]  Pong C. Yuen,et al.  Human face recognition using PCA on wavelet subband , 2000, J. Electronic Imaging.

[17]  Bruce A. Draper,et al.  Recognizing faces with PCA and ICA , 2003, Comput. Vis. Image Underst..

[18]  T. F. Karim,et al.  Face recognition using PCA-based method , 2010, 2010 IEEE International Conference on Advanced Management Science(ICAMS 2010).

[19]  Monson H. Hayes,et al.  Hidden Markov models for face recognition , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[20]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[21]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Hong Jiang,et al.  Face recognition based on DWT/DCT and SVM , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).