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Reseach Article

Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid

by Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 5
Year of Publication: 2010
Authors: Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo
10.5120/1672-2256

Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo . Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid. International Journal of Computer Applications. 12, 5 ( December 2010), 41-45. DOI=10.5120/1672-2256

@article{ 10.5120/1672-2256,
author = { Dr.H.B.Kekre, Sudeep D. Thepade, AkshayMaloo },
title = { Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 5 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number5/1672-2256/ },
doi = { 10.5120/1672-2256 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:26.000794+05:30
%A Dr.H.B.Kekre
%A Sudeep D. Thepade
%A AkshayMaloo
%T Article:Face Recognition using Texture Features Extracted form Haarlet Pyramid
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 5
%P 41-45
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed for decades. The paper presents novel Haatlet Pyramid based face recognition technique. Here face recognition is done using the image feature set extracted from Haarlets applied on the image at various levels of decomposition. Here the image features are extracted by applying Haarlets on gray plane (average of red, green and blue. The proposed technique is tested on two image databases having 100 images each.

References
  1. Developed by Dr. Libor Spacek. Available Online at: http://cswww.essex.ac.uk/mv/otherprojects.html.
  2. H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features Extracted from Haarlet Pyramid”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 10, Issue I, Feb.2010, pp.9-18, Available online www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
  3. H.B.Kekre, Sudeep D. Thepade, “Creating the Color Panoramic View using Medley of Grayscale and Color Partial Images ”, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No. 3, Summer 2008. Available online at www.waset.org/ijecse/v2/v2-3-26.pdf.
  4. StianEdvardsen, “Classification of Images using color, CBIR Distance Measures and Genetic Programming”, Ph.D. Thesis, Master of science in Informatics, Norwegian university of science and Technology, Department of computer and Information science, June 2006.
  5. H.B.Kekre, TanujaSarode, Sudeep D. Thepade, “DCT Applied to Row Mean and Column Vectors in Fingerprint Identification”, In Proceedings of International Conference on Computer Networks and Security (ICCNS), 27-28 Sept. 2008, VIT, Pune.
  6. Zhibin Pan, Kotani K., Ohmi T., “Enhanced fast encoding method for vector quantization by finding an optimally-ordered Walsh transform kernel”, ICIP 2005, IEEE International Conference, Volume 1, pp I - 573-6, Sept. 2005.
  7. H.B.kekre, Sudeep D. Thepade, “Improving ‘Color to Gray and Back’ using Kekre’s LUV Color Space”, IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009. Is uploaded and available online at IEEE Xplore.
  8. H.B.Kekre, Sudeep D. Thepade, “Image Blending in Vista Creation using Kekre's LUV Color Space”, SPIT-IEEE Colloquium and International Conference, Sardar Patel Institute of Technology, Andheri, Mumbai, 04-05 Feb 2008.
  9. H.B.Kekre, Sudeep D. Thepade, “Color Traits Transfer to Grayscale Images”, In Proc.of IEEE First International Conference on Emerging Trends in Engg. & Technology, (ICETET-08), G.H.Raisoni COE, Nagpur, INDIA. Uploaded on online IEEE Xplore.
  10. http://www.webopedia.com/TERM/F/false_rejection.html (last referred on 20/10/09)
  11. http://www.webopedia.com/TERM/F/false_acceptance.html(last referred on 20/10/09)
  12. K.-C. Liang and C. C. Kuo, "WaveGuide: A Joint Wavelet-Based Image Representation and Description System," IEEE Trans. on ImageProcessing, vol. 8, no. 11, pp.1619-1629, 1999
  13. Haar, Alfred, “ZurTheorie der orthogonalenFunktionensysteme”. (German), MathematischeAnnalen, volume 69, No. 3, 1910, pp. 331–371.
  14. Charles K. Chui, “An Introduction to Wavelets”, Academic Press, 1992, San Diego, ISBN 0585470901.
  15. H.B.Kekre, Sudeep D. Thepade, AkshayMaloo “Face Recognition using Texture Feartures Extracted form Walshlet Pyramid”, In Second International Joint Journal Conference in Computer, Electronics and Electrical, CEE 2010, November 2010 Issue.
Index Terms

Computer Science
Information Sciences

Keywords

Face recognition Haarlet Pyramid Haarlet Levels