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

A New Face Recognition Technique using Gabor Wavelet Transform and Back Propagation Network

by V. Balamurugan, Mukundan Srinivasan, Vijayanarayanan.a
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 3
Year of Publication: 2012
Authors: V. Balamurugan, Mukundan Srinivasan, Vijayanarayanan.a
10.5120/7611-0655

V. Balamurugan, Mukundan Srinivasan, Vijayanarayanan.a . A New Face Recognition Technique using Gabor Wavelet Transform and Back Propagation Network. International Journal of Computer Applications. 49, 3 ( July 2012), 38-42. DOI=10.5120/7611-0655

@article{ 10.5120/7611-0655,
author = { V. Balamurugan, Mukundan Srinivasan, Vijayanarayanan.a },
title = { A New Face Recognition Technique using Gabor Wavelet Transform and Back Propagation Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 3 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number3/7611-0655/ },
doi = { 10.5120/7611-0655 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:22.994292+05:30
%A V. Balamurugan
%A Mukundan Srinivasan
%A Vijayanarayanan.a
%T A New Face Recognition Technique using Gabor Wavelet Transform and Back Propagation Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 3
%P 38-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a new face recognition technique using Gabor Wavelet transform and Back propagation network. Face recognition being regarded as a fundamental technology of biometrics has been applied to a variety of areas, including computer vision and pattern recognition. In this proposed approach, the features of the query face image and database face images have been extracted using Gabor transform and trained using BPN. The main objective of this proposed system is to develop an efficient face recognition system by improving the efficiency of the existing face recognition systems. The proposed system has been developed to provide efficiency in terms of retrieval accuracy and precision. The precision improved by 100 % and average recall rate of up to 97 % for the database of 100 images. The efficiency of the proposed system obtained as 100%.

References
  1. M. Turk and A. Pentland, "Face recognition using eigenfaces," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , 1991, pp. 586–591.
  2. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Netw. , vol. 13, no. 6, pp. 1450–1464, Nov. 2002.
  3. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 19, no. 7, pp. 711–720, Jul. 1997.
  4. A. Pujol, J. Vitria, F. Lumbreras, and J. J. Villanueva, "Topological principal component analysis for face encoding and recognition," PatternRecognit. Lett. , vol. 22, pp. 769–776, 2001.
  5. H. C. Kim, D. Kim, and S. Y. Bang, "Face recognition using the mixture-of-eigenfaces method," Pattern Recognit. Lett. , vol. 23, pp. 1549–1558, 2002
  6. K. I. Kim, K. Jung, and H. J. Kim, "Face recognition using kernel principal component analysis," IEEE Signal Process. Lett. , vol. 9, no. 2, pp. 40–42, Feb. 2002.
  7. B. Li and Y. Liu, "When eigenfaces are combined with wavelets," Knowledge-Based Syst. , vol. 15, pp. 343–347, 2002.
  8. R. Gottumukkal and V. K. Asari, "An improved face recognition technique based on modular PCA approach," Pattern Recognit. Lett. , vol. 24, pp. 429–436, 2004. .
  9. Keun-Chang Kwak, Member, IEEE, and Witold Pedrycz, Fellow, IEEE, "Face Recognition Using an Enhanced Independent Component Analysis Approach. " IEEE Transactions On Neural Networks, Vol. 18, No. 2,pp. 530-541 MARCH 2007.
  10. H. Yu and J. Yang, "A direct LDA algorithm for high-dimensional data with application to face recognition," Pattern Recognit. , vol. 34, pp. 2067–2070, 2001.
  11. Z. Jin, J. Y. Yang, Z. S. Hu, and Z. Lou, "Face recognition based on the uncorrelated discriminant transformation," Pattern Recognit. , vol. 34, pp. 1405–1416, 2001.
  12. K. C. Kwak and W. Pedrycz, "Face recognition using fuzzy integral and wavelet decomposition method," IEEE Trans. Syst. , Man, Cybern. B, Cybern. , vol. 4, no. 4, pp. 1666–1675, Aug. 2004.
  13. L. Juwei, K. N. Plataniotis, and A. N. Venetsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms," IEEE Trans. Neural Netw. , vol. 14, no. 1, pp. 117–126, Jan. 2003.
  14. . C. Liu and H. Wechsler, "Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition," IEEETrans. Image Process. , vol. 11, no. 4, pp. 467–476, Apr. 2002.
  15. J. Yang, A. F. Frangi, and J. Y. Yang, "Anewkernel Fisher discriminant algorithm with application to face recognition," Neurocomput. , vol. 56, pp. 415–421, 2004.
  16. Gilbert Strang, MIT. Linear algebra and its applications. Academic Press (1976), Second edition: Harcourt Brace Jovanovich (1980), Third edition: Brooks/Cole (1988), Fourth edition: Brooks/Cole (2005).
  17. I. Biederman. Recognition by components: A theory of human image understanding. Psych Rev, vol. 94, pp. 115-147, 1987.
  18. I. Rock. The logic of perception. Cambridge, MA: MIT Press, 1983.
  19. V. Brian, Funt, Kobus Barnard, Lindsay Martin. Is machine colour constancy good enough? Proceedings of the 5th European Conference on Computer Vision, vol. 1, pp. 445-459, June 02-06, 1998.
  20. S. Zeki. A vision of the brain. Blackwell Scientific Publications Oxford, 1993.
  21. J. Ingemar, Cox, Joumana Ghosn, N. Peter, Yianilos. Feature-based face recognition using mixture-distance. Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), pp. 209, June 18-20, 1996.
  22. V. Govindaraju, R. K. Krishnamurthy. Holistic handwritten word recognition using temporal features derived from off-line images, Pattern Recognition Letters, Elsevier Science, vol. 17(5), pp. 537-540(4), May 1, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Gabor Wavelet transforms (GWT) back propagation Network (BPN) eigenface

Powered by PhDFocusTM