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An Evaluation of Palm Print Recognition Techniques using DCT, Haar Transform and DCT Wavelets and their Performance with Fractional Coefficients

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Authors:
Dr. H. B. Kekre
Dr.Tanuja K. Sarode
Aditya A. Tirodkar
10.5120/3871-5410

Ramakrishna.M, Kishore Kumar.M and Addanki Purna Ramesh. Article:Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOS-II Processor Based SOC on FPGA. International Journal of Computer Applications 31(1):48-55, October 2011. Full text available. BibTeX

@article{key:article,
	author = {Ramakrishna.M and Kishore Kumar.M and Addanki Purna Ramesh},
	title = {Article:Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOS-II Processor Based SOC on FPGA},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {1},
	pages = {48-55},
	month = {October},
	note = {Full text available}
}

Abstract

Palm print recognition is a proliferating technique in the ever increasing use of Biometrics for security and identification. Our paper proposes a technique for palm print recognition using the Discrete Cosine Transform, Haar Transform and the DCT Wavelet along with tests related to their fractional coefficients. After experimental observation on a set of 8000 images, we have found their maximum accuracies to be in the range of 94.4% for each transform. Along with discussing each transform used, we demonstrate how partial energy coefficients can increase accuracy with a 99.5% reduction in computation, as can be inferred from our results.

Reference

  • Syed Ali Khayam.,xsx“The Discrete Cosine Transform (DCT): Theory and Application.” ECE 802-602: Information Theory and Coding. Seminar 1.
  • Kiochi Ito, Takafumi Aoki, Hiroshi Nakajima, Koji Kobayashi, Tatsuo Higuchi. “A Palmprint Recognition Algorithm Using Phase-Based Image Matching. ICIP 2006. Pgs. 2669-2672.”
  • H.B. Kekre, Sudeep D. Tepade, Ashish Varun, Nikhil Kamat, Arvind Viswanathan, Pratic Dhwoj. “Performance Comparison of Image Transforms for Palm Print Recognition with Fractional Coefficients of Transformed Palm Print Images.” I.J.E.S.T. Vol.2(12), 2010, 7372-7379.
  • Wei Li, Li Zhang, Guangming Lu, Jingqi Yan. “Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement.”23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA. June 13-18, 2010.
  • Mohammed Alwakeel, Zyad Shaahban, “Face Recognition Based on Haar Wavelet Transform and Principal Component Analysis via Levenberg-Marquardt Backpropagation Neural Network.”European Journal of Scientific Research. ISSN 1450-216X Vol.42 No.1 (2010), pp.25-31.
  • Xiangqian Wu, David Zhang, Kuanquan Wang. Fischerpalms based palmprint recognition. X. Wu et al. / Pattern Recognition Letters 24 (2003) 2829–2838
  • H.B. Kekre, Dr. Tanuja K. Sarode, Sudeep D. Thepade, Sonal Shroff. “Instigation of Orthogonal Wavelet Transforms using Walsh, Cosine, Hartley, Kekre Transforms and theiruse in Image Compression.” IJCSIS. Vol. 9. No. 6, 2011.Pgs. 125-133.
  • D. Zhang, “Palmprint Authentication.” Kluwer Academic Publication, 2004.
  • Parashar.S;Vardhan.A;Patvardhan.C;Kalra.P “Design and Implementation of a Robust Palm Biometrics Recognition and Verification System”, Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
  • Kumar.A;Wong.D;Shen.H;Jain.A(2003):“Personal Verification Using Palm print and Hand Geometry Biometric.” Proc. of 4thInternational Conference on Audio-and Video-Based Biometric Person Authentication (AVBPA)”, Guildford, UK.
  • Acharya and Ray, “Image Processing: Principles and Applications,” Wiley-Interscience 2005 ISBN-0-471-71998-6
  • Nasir Ahmed. “How I Came Up with the Discrete Cosine Transform.”Digital Signal Processing 1, pages 4-5 (1991).
  • Zhang, D., 2000. “Automated Biometrics: Technologies and Systems”. Kluwer Academic Publishers.
  • Zhang, D., Shu, W., 1999. Two novel characteristics in palmprint verification: Datum point invariance and line feature matching. Pattern Recognition. 32, 691–702.
  • PolyU 3D Palmprint Database, http://www.comp.polyu.edu.hk/~biometrics/2D_3D_Palmprint.htm
  • W. Li, D. Zhang, L. Zhang, G. Lu, and J. Yan, "Three Dimensional Palmprint Recognition with Joint Line and Orientation Features", IEEE Transactions on Systems, Man, and Cybernetics, Part C, In Press.
  • W. Li, L. Zhang, D. Zhang, G. Lu, and J. Yan, “Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement”, in: Proc. CVPR 2010.
  • D. Zhang, G. Lu, W. Li, L. Zhang, and N. Luo, "Palmprint Recognition Using 3-D Information", IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Volume 39, Issue 5, pp. 505 - 519, Sept. 2009.
  • W. Li, D. Zhang, and L. Zhang, "Three Dimensional Palmprint Recognition", IEEE International Conference on Systems, Man, and Cybernetics, 2009.
  • D. Zhang, G. Lu, W. Li, L. Zhang, and N. Luo, "Three Dimensional Palmprint Recognition using Structured Light Imaging", 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008, pp. 1-6
  • Charles K. Chui, An Introduction to Wavelets, (1992), Academic Press, San Diego, ISBN 0585470901
  • Chin-Chen Chang, Jun-Chou Chuang and Yih-Shin Hu, 2004. "Similar Image Retrieval Based On Wavelet Transformation",International Journal Of Wavelets, Multiresolution And Information Processing, Vol. 2, No. 2, 2004, pp.111–120.