CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Human Face Recognition in wavelet compressed domain using Canonical Correlation Analysis

by Menila James, Dr. S. Arockiasamy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 12
Year of Publication: 2012
Authors: Menila James, Dr. S. Arockiasamy
10.5120/4758-6831

Menila James, Dr. S. Arockiasamy . Human Face Recognition in wavelet compressed domain using Canonical Correlation Analysis. International Journal of Computer Applications. 37, 12 ( January 2012), 36-40. DOI=10.5120/4758-6831

@article{ 10.5120/4758-6831,
author = { Menila James, Dr. S. Arockiasamy },
title = { Human Face Recognition in wavelet compressed domain using Canonical Correlation Analysis },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 12 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number12/4758-6831/ },
doi = { 10.5120/4758-6831 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:11.066715+05:30
%A Menila James
%A Dr. S. Arockiasamy
%T Human Face Recognition in wavelet compressed domain using Canonical Correlation Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 12
%P 36-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper explores the possibility of implementing face recognition systems directly into wavelet based compressed domain. This is accomplished by stopping the decompression process after entropy decoding and providing the entropy points to face recognition systems as input. A novel approach for efficient face recognition in compressed domain has been implemented using 2-dimensional Canonical Correlation Analysis. CCA is a powerful multivariate analysis method and hence a powerful feature projection approach for compressed facial images based on CCA is proposed. Matching of image data is done by Mode based Matching method. The experimental results proved that the proposed method considerably improves the recognition rates and also reduce the computational time and storage requirements.

References
  1. Delac. K. , Grig., 2004, M, A survey of Biometric Recognition Methods, Proc. of the 46th International Symposium Electronics in Marine, ELMAR-2004, Zadar,Croatia,16-18 June 2004, pp. 184-193.
  2. P.N. Belunmeur, J.P. Hespanha, D.J. Kriegman, 1997, Eigen Faces vs Fisherfaces Recognition Using Class specific linear projection, IEEE Trans Pattern Analysis and Machine Intelligence.
  3. W. Zhao, R. Chellappa, A. Rosenfeld, P.J. Phillips, 2003, Face Recognition: A Literature Survey, ACM Computing Surveys 35 (4) 399–458.
  4. K. Delac, M. Grgic (Eds), 2007, Face Recognition, I-Tech Education and Publishing, Vienna.
  5. Ekenel, H.K.; Stallkamp, J. Gao, H. Fischer, M. Stiefelhagen, 2007, R., Face Recognition for Smart Interactions, IEEE International Conference on Multimedia and Expo, Pp: 1007-1010.
  6. D.P. McGarry, C.M. Arndt, S.A. McCabe, D.P. D’Amato, 2004, Effects of Compression and Individual Variability on Face Recognition Performance, Proc. of SPIE 5404 362–372.
  7. Delac. K. , Grig. M. , Grgic. S, 2005, Effects of JPEG and JPEG2000 Compression on Face Recognition, Lecture Notes in Computer Science – Pattern Recognition and Image Analysis 3687, 136-145.
  8. C.L. Sabharwal, W. Curtis, Human Face Recognition in the Wavelet Compressed Domain, 1997, Smart Engineering Systems, ANNIE 97, St. Louis, Missouri, USA, 7 555-560.
  9. H.K. Ekenel, B. Sankur, 2005, Multiresolution Face Recognition, Image and Vision Computing 23 (5) 469-477.
  10. Delac. K. , Grig. M. , Grgic. S., 2007, Towards Face Recognition in JPEG2000 Compressed Domain, Proc. Of the 14th International Workshop on Systems, Signals and Image Processing (IWSSIP), pp. 155-159.
  11. K. Delac, M. Grgic, S Grgic, 2009, Face Recognition in JPEG and JPEG2000 compressed domain, Image and Vision Computing 27, 1108-1120.
  12. Sun Ho Lee and Seungjin Choi, 2007, Two-Dimensional Canonical Correlation Analysis, IEEE Signal Processing Letters, VOL. 14, NO. 10.
  13. H. Hotelling, 1936, Relations between two sets of variates, Biometrika 28, 321.
  14. M. Turk, A. Pentland, 1991, Eigenfaces for Recognition, Journal of Cognitive Neurosicence 3 (1) 71–86.
  15. M.S. Bartlett, J.R. Movellan, T.J. Sejnowski, 2002, Face Recognition by Independent Component Analysis, IEEE Trans. on Neural Networks, Vol 13 (6), Pages 1450– 1464.
  16. Dominik Jelsovka, Robert Hudec, and Martin Breznan, 2011, Face Recognition on FERET Face Database Using LDA and CCA Methods, 978-1-4577-1411-5/11 , IEEE 2011.
  17. G. Kukharev and P. Forczmanski, 2007, Facial Images Dimensionality Reduction and Recognition by Means of 2DKLT, Machine GRAPHICS & VISION 16, 401-425,
  18. Z. Lei, R.H. Bai, S.Li, 2008, Face shape recovery from a single image using CCA mapping between tensor spaces. In Proc. Of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  19. W.Yang , Z. Lei, J. Sang, 2008, 2D-ED face matching using CCA method, National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing.
  20. G. Kukharev, E. Kamenskaya, 2010, Application of two-dimensional canonical correlation analysis for image processing and recognition, Pattern Recognition and Image Analysis.
  21. R. Hardon, R. Szemak, R. SHAWE, 2004, Canonical correlation analysis: An overview with application to learning methods, 2639-2644.
  22. S.Arockiasamy, Menila James, 2011, Face Recognition in compressed domain based on wavelet transform and kd-tree matching, Global Journal of Computer Science and Technology - GJCST Volume 11 Issue 10 Version 1.0.
Index Terms

Computer Science
Information Sciences

Keywords

Face recognition compressed domain wavelet transform Canonical Correlation Analysis (CCA)

Powered by PhDFocusTM