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Reseach Article

CWT and Fisherface for Human Face Recognition

by Abbas Hussien Miry
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 6
Year of Publication: 2016
Authors: Abbas Hussien Miry
10.5120/ijca2016909837

Abbas Hussien Miry . CWT and Fisherface for Human Face Recognition. International Journal of Computer Applications. 142, 6 ( May 2016), 27-30. DOI=10.5120/ijca2016909837

@article{ 10.5120/ijca2016909837,
author = { Abbas Hussien Miry },
title = { CWT and Fisherface for Human Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 6 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number6/24902-2016909837/ },
doi = { 10.5120/ijca2016909837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:44:49.288837+05:30
%A Abbas Hussien Miry
%T CWT and Fisherface for Human Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 6
%P 27-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recognition of face is a good authentication and verification tool of people, has a great interest in our live. One of its important algorithms is eigenface which has been used widely; it has limitations such as poor discriminatory power, to solve this problem fisherface is used which attempt the distance between is maximum classes and the distance inside class is minimum, but it suitable for small data . Complex Wavelet Transform (CWT) is used to get import information of image and input it to fisherface. It uses dual-tree wavelet filters to obtain the imaginary and real to obtain shift invariance and different direction. This combination improved the accuracy of face recognition. Fisherface makes the best representation of the data entry while CWT is decomposing the training image with various rotated image recognition. Finally, the performance is compared to the proposed method with other methods, and gives better identification accuracy .

References
  1. Ramesha K and K. Raja ," Dual Transform based Feature Extraction for Face Recognition ", IJCSI International Journal of Computer Science Issues ISSN (Online): 1694-0814 ,pp:115-124 , Vol. 8, Issue 5, No 2, 2011 .
  2. K. Golla, S. G and R. babu," Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm " , International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459),pp:223-228 Vol. 2, Issue 11, Nov. 2012 .
  3. D. Murugan1, S. Arumugam, K. Rajalakshmi and T .Manish ,”Performance Evolution of Face Recognition Using Gabor Filter, Log Gabor Filter and Discrete Wavelet Transform”, IJCST 2010 ,Vol.2, No.1 ,pp(125-133).
  4. S. Jaiswal, S. S. Bhadauria and R. S. Jadon," Comparison Between Face Recognition Algorithm –Eignfaces , Fisherfaces And Elastic Bunch Graph Matching ", Journal of Global Research in Computer Science , Volume 2, No. 7,pp:187-193, 2007.
  5. S. K. Bhattacharya and K. Rahul ," Face Recogniation by Linear Discriminant Analysis", , International Journal of Communication Network Security, Vol.2, Issue-2,pp:31-35 2013.
  6. B. Zhang and S. S. Ge . ' Face Recognition by Applying Wavelet Subband Representation and Kernel Associative Memory' . Neural Networks IEEE Transcatio, 2004 , Volume 15, No. 1, pp (166-177).
  7. A. H.Miry ,A. h. Mary A. s. majeed and M. H. Mary ,"Face Recognition Based PCA with DT-CWT",3rd International Scientific Conference, foundation of technical education pp:956-967 .2013
  8. A.H.Miry,"Face Recognition Based PCA and Wavelet Subbands" , Engineering and Development Journal , Vol. 17, No.5,pp: 238-248 2013
  9. S.Manoharan and Sathesh " A Dual Tree Complex Wavelet Transform Construction and its Application to Image Denoising" IJIP pp: 293-300 ,Vol.3,No. 6
  10. A. K. Vijay and M. Mathurakani " Image Denoising Using Dual Tree Complex Wavelet Transform" IJRET: pp:60-64 , Vol.3 Special Issue: 01 Mar 2014.
  11. P. Belhumeur, and D Kriegman and J Hespanha, " Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection ", IEEE Transction on Pattern Analysis and Machine Intelligence , Volume. 19 pp:711-719, 1997
  12. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
  13. http://www.anefian.com/research/face_reco.htm
  14. http://cmp.felk.cvut.cz/~spacelib/faces/faces94.html
  15. http://pics.psych.stir.ac.uk/2D_face_sets.html
Index Terms

Computer Science
Information Sciences

Keywords

Eigenface Fisherface complex wavelet.