Palmprint Recognition Using 2-D Wavelet, Ridgelet, Curvelet and Contourlet

Hatem Elaydi*, Mohammed Alhanjouri**, Mohanad A. M. Abukmeil***
* Associate Professor, Department of Electrical Engineering, Islamic University-Gaza, Palestine.
** Associate Professor of AI & DSP, Director of Excellence and E-learning Center / Academic Affairs,IUG.
*** ICT System Engineer, Department of Electrical Engineering-Communication Field, Islamic University-Gaza, Palestine.
Periodicity:July - September'2013
DOI : https://doi.org/10.26634/jee.7.1.2426

Abstract

Palmprint recognition is a promising biometric field which is used for forensic and commercial applications. This paper provides a comparative palmprint recognition approach using multi-scale transforms: 2D wavelets, ridgelets, curvelets, and contourlets for feature extraction phase, 2-D Principal Component Analysis (2-D PCA) for dimensionality reduction and artificial neural network for recognition phase. Finally, a comparative analysis has been done. The algorithms have been tested using PolyU hyperspectral palmprint database. The recognition rate accuracy was very good and is listed in this order curvelets, contourlets, ridgelets, and 2D discrete wavelets where the curvelets outperformed the others.

Keywords

Palmprint Identification, 2-D Discrete Wavelet, Ridgelets, Curvelets, Contourlets, 2-DPCA, Back Propagation Neural Network

How to Cite this Article?

Elaydi, H., Alhanjouri, M., and Abukmeil, M. A. M. (2013). Palmprint Recognition Using 2-D Wavelet, Ridgelet, Curvelet And Contourlet. i-manager’s Journal on Electrical Engineering, 7(1), 9-19. https://doi.org/10.26634/jee.7.1.2426

References

[1]. D. Zhang, Wai-Kin Kong, J. You and Michael Wong, (2003). "Online palmprint identification," on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1041-1050, Sept. .
[2]. A. Jain, R. Bolle and S. Pankanti (eds.), (1999). Biometrics: Personal Identification in Networked Society, Boston, Mass: Kluwer Academic Publishers.
[3]. A. Morales, M. Ferrer and A. Kumar, (2010). "Improved palmprint authentication using contactless imaging," 4th IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), pp. 1-6, Sep..
[4]. A. Kong, D. Zhang and M. Kamel, (2009). "A survey of palmprint recognition," Journal of Pattern Recognition, vol. 42, pp. 1408-1418, July..
[5]. Jiwen Lu, Erhu Zhang, Xiaobin Kang and Yanxue Xue, ( 2 0 0 6 ) . " Pa lmp r i n t r e c o g n i t i o n u s i n g w a v e l e t decomposition and 2D principal component analysis, "International conference on Communications, Circuits and Systems Proceedings, vol. 3, pp. 2133-2136, June. .
[6]. H. Masood, M. Asim, M. Mumtaz and A. Mansoor, (2009). "Combined contourlet and non-subsampled contourlet transforms based approach for personal identification using palmprint," Digital Image Computing: Techniques and Applications, DICTA '09, pp.408-415, Dec.
[7]. M. Sharkas, I. El-Rube and M.A. Mostafa, (2010). "The Contourlet transform with the principal component analysis for palmprint recognition," International C o n f e r e n c e o n C o m p u t a t i o n a l I n t e l l i g e n c e, Communication Systems and Networks (CICSyN), pp. 262-267, July .
[8]. H.B. Kekre, R. Vig and S. Bisani, (2012). "Identification of multi-spectral palmprints using energy compaction by hybrid wavelet," International Conference on Biometric (ICB), pp. 433-438, March.
[9]. J. Andrew Bangham and Richard V.Aldridge, (1993). "Multiscale decomposition using median and morphological filters," IEEE Winter Workshop on Nonlinear Digital Signal Processing, 6.1_1.1 - 6.1_1.4.
[10]. Alexandru Isar, Sorin Moga, and Xavier Lurton, (2005). "A statistical analysis of the 2d discrete wavelet transform," Proceedings of the International Conference AMSDA, 17-20 May, 2005, 1275-1281.
[11]. Samuel Foucher, Goz´e Bertin B´eni´e and Jean- Marc Boucher, (2001). "Multiscale map filtering of sar images," IEEE Transactions on Image Processing, vol. 10, no.1, 49-60, January.
[12]. E.J. Candues, Ridgelets: (1998). Theory and Applications, Ph.D. thesis, Department of Statistics, Stanford University.
[13]. E. J. Candues and D. L. Donoho, (1999). "Ridgelets: a key to higher- dimensional intermittency?" Phil. Trans. R. Soc. Lond. A. pp. 2495-2509.
[14]. G.T. Herman, Image Reconstruction from Projections: (1980). The Fundamentals of Computerized Tomography, Academic Press.
[15]. A. Rosenfeld and A. C. Kak, (1982). Digital Picture Processing, Aca- demic Press, 2nd edition.
[16]. H. Führ, L. Demaret and F. Friedrich, Beyond wavelets: (2006). Book chapter. In: M. Barni and F. Bartolini (Eds.), Document and Image Compression, CRC Press, Boca Raton, FL, 2006.
[17]. E. Candes and D. Donoho. (2004). "New tight frames of curvelets and optimal representations of objects with C2 singularities," Commun. Pure Appl. Math. 57, pp. 219–266.
[18]. J. Starck, E. Candes and D. Donoho, (2002). "The curvelet transform for image denoising," IEEE Transactions on Image Processing, 11, pp. 670–684.
[19]. M. Do, (2001). Directional multiresolution image representation, Thesis, Swiss Federal Institute of Technology
[21]. R. Bamberger and M. Smith. (1992). "A filter bank for the directional decomposition of images: Theory and design," IEEE Trans. Signal Proc. 40, pp. 882-893, 1992.
[22]. Liwei Wang, Xiao Wang, Xuerong Zhang and Jufu Feng, (2005). "The equivalence of two-dimensional PCA to line-based PCA," Pattern Recognition Letters, 26 (1), pp. 57-60, Jan .
[23]. J. Yang and D. Zhang, (2004). "Two-dimensional PCA: A new approach to appearance-based face representation and recognition," IEEE Trans. Pattern Anal. Machine Intell. PAMI-26 (1), 131-137.
[24]. P. Latha, L.Ganesan and S. Annadurai, (2009). "Face Recognition using neural networks," Signal Processing: An International Journal (SPIJ), 3 (5), 153-160, Nov .
[25]. S. Lawrence, C.L. Giles, A.C. Tsoi, and A.d. Back, (1993). "Face recognition: a convolutional neural network approach," IEEE Transactions of Neural Networks. Vol.8, No.1, pp.98-113 .
[26]. Department of Computing, The Hong Kong Polytechnic University (PolyU), Hyperspectra Palmprint database, Polyu, accessed on Aug. 22, 2013, available at:http://www4.comp.polyu.edu.hk/~biometrics/Hypers pectral Palmprint/HSP.htm.
[27]. Zhenhua Guo, Lei Zhang, and David Zhang, ( "Feature band selection for multispectral palmprint 2010). recognition," International Conference on Pattern Recognition, pp. 1136-1139 .
[28]. Curvelet.org, accessed on July 14, 2013, available at: http://www.curvelet.org/.
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