CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Efficient Bayesian Approach to Face Recognition Based on Wavelet Transform

by Esther Annlin Kala James, S. Annadurai
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 8
Year of Publication: 2011
Authors: Esther Annlin Kala James, S. Annadurai
10.5120/1969-2636

Esther Annlin Kala James, S. Annadurai . An Efficient Bayesian Approach to Face Recognition Based on Wavelet Transform. International Journal of Computer Applications. 15, 8 ( February 2011), 22-26. DOI=10.5120/1969-2636

@article{ 10.5120/1969-2636,
author = { Esther Annlin Kala James, S. Annadurai },
title = { An Efficient Bayesian Approach to Face Recognition Based on Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 8 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number8/1969-2636/ },
doi = { 10.5120/1969-2636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:36.049998+05:30
%A Esther Annlin Kala James
%A S. Annadurai
%T An Efficient Bayesian Approach to Face Recognition Based on Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 8
%P 22-26
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition plays a vital role in identification and for authentication purpose, in our day to day lives. In real time, this identification must be liable, perfect and faster. In this paper, face recognition approach using wavelet transform and Bayesian model is proposed, where the images have been recognized with minimal time and improved efficiency.

References
  1. W. Zhao, R. Chellappa, A. Rosenfeld and P.J. Phillips, “Face Recognition: A Literature Survey”, ACM Computer Survey., vol 35, no. 4, pp 299-458, 2003
  2. Tsai, G.S.-Y.; Tang, A.C.-W.; , "Two-view Face Recognition using Bayesian Fusion," Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on , vol., no., pp.157-162, 11-14 Oct. 2009.
  3. Niu Liping, Zheng Yanbin et.al. “Combined Face Recognition Using Wavelet Transform and Bayesian” IEEE Second International Conference on Information and Computing Science, 2009.
  4. Moghaddam. B, T. Jebara, and A. Pentland,“ Bayesian Face Recognition”, Pattern Recognition, Vol. 33,pp, 1771-1782, 2000
  5. Ming-Yuan Shieh, Choung-Ming Hsieh, Jian- Yuan Chen, Juing - Shian Chiou, ” PCA and LDA based Fuzzy Face Recognition System”, SICE Annual Conference 2010, August 18-21, 2010.
  6. Jian Yang, Zhang. Dand Jing-yu Yang, ”Two dimensional PCA: A new approach to Appearance based Face Representation and Recognition“, IEEE Transactions on Pattern Analysis and Machine Intelligence .Vol26.(2004)131-137.
  7. Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi and Hong-jiang Zhang, ”Face Recognition using Laplacianfaces”, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol.27, No.3, March 2005.
  8. Kresimir Delac, Mislav Grgic, Sonja Grgic, ” Independent comparative study of PCA, ICA and LDA on the FERET Data set, ”Wiley Periodicals, vol.15, 252-260(2005).
  9. Mogaddam B.,Nastar C.,Pentland A., ”A Bayesian Similarity Measure for Direct Image Matching”, Massachusetts Institute of Technology, Cambridge, MIT Media lab PCS TR39, 1996.
  10. Byung-joo oh ,”Face Recognition by using Neural Networks Classifiers based on PCA and LDA,” Systems, Man and Cybernetics, 2005 IEEE International Conference on, vol.2, no.pp.1699- 1703 vol.2,10-12 Oct. 2005
  11. Hadi Sadoghi Yazdi, Abedin Vhedian., ”Fuzzy Bayesian classification of LR Fuzzy numbers”., IACSIT International Journal of Computer Theory and Engineering, Vol.1., no 5, December 2009.
  12. Keun-Chang Kwak, Witold Pedrycz., “Face Recognition using Fuzzy integral and wavelet decomposition method”, IEEE Transactions systems, Man and cybernetics, Vol 34., No.4, August 2004.
  13. Minghua Wan, Zhihui Lai, Jie shao, Chuanbo Huang, Zong Jin, ”Fuzzy Local Discriminant Embedding (FLDE) for Face Recognition”, The 1st International conference on Information Science and Engineering (ICISE 2009).
  14. P.N. Belhumeur, J.P. Hespanha and D.J.Kriegman, “Eigen faces versus. Fisher Faces: Recognition using class specific linear projection”, IEEE Trans. Pattern Analysis Machine Intelligence, July 1997, Vol.19, pp.711-720.
  15. S.Yan, M. Li, H.J. Zhang and Q. Cheng, “Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework”, Proceedings IEEE International Conference Computer Vision 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Face recognition Wavelet Transform Whitening Transform Bayesian Transform Principal Component Analysis

Powered by PhDFocusTM