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Iris Image Recognition pp 45–58Cite as

Combined Directional Wavelet Filter-Banks Based Features

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Abstract

This chapter presents the construction of combined directional wavelet filter banks (CDWFB) by the combination of directional wavelet filter bank (DWFB) and rotated directional wavelet filter banks. The iris image feature extraction algorithm based on CDWFB and post-classifier have been discussed in this chapter.

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References

  1. Mallat S (1996) Wavelet for a vision. Proc IEEE 84:604–614

    Article  Google Scholar 

  2. Do M, Vetterli M (2005) The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans Image Process 14(12):2091–2106

    Article  MathSciNet  Google Scholar 

  3. Patil B, Patwardhan P, Gadre V (2008) On the design of fir wavelet filter banks using factorization of a halfband polynomial. IEEE Signal Process Lett 15:485–488

    Article  Google Scholar 

  4. Kim N, Udpa S (2000) Texture classification using rotated wavelet filters. IEEE Trans Syst Man Cybern Part A Syst Hum 30(6):847–852

    Article  Google Scholar 

  5. Kokare M, Biswas P, Chatterji B (2005) Texture image retrieval using new rotated complex wavelet fitlers. IEEE Trans Syst Man Cybern Part B Cybern 35(6):1168–1178

    Article  Google Scholar 

  6. Eslami R, Radha H (2007) A new family of nonredundant transforms using hybrid wavelets and directional filter banks. IEEE Trans Image Process 16(4):1152–1167

    Article  MathSciNet  Google Scholar 

  7. Lu Y, Do M (2005) The finer directional wavelet transform. In: Proceedings of the IEEE ICASSP, Philadelphia, 2005

    Google Scholar 

  8. Phoong S, Kim C, Vaidyanathan P, Ansari R (1995) A new class of two-channel biorthogonal filter banks and wavelet bases. IEEE Trans Signal Process 43(3):649–665

    Article  Google Scholar 

  9. Ansari R, Kim C, Dedovic M (1999) Structure and design of two-channel filter banks derived from a triplet of halfband filters. IEEE Trans Circ Syst II Analog Digital Signal Process 46(12):1487–1496

    Article  Google Scholar 

  10. Kovacevic J, Vetterli M (1992) Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases of \(r^{n}\). IEEE Trans Inf Theor 38(2):533–555

    Article  MathSciNet  Google Scholar 

  11. Shah I, Kalker T (1993) Theory and design of multidimensional qmf sub-band filters from 1-d filters and polynomials using transforms. IEEE Proc Commun Speech Vis 140(1):67–71

    Article  Google Scholar 

  12. McClellan J, Chan D (1997) A 2-d fir filter structure derived from the chebyshev recursion. IEEE Trans Circ Syst 24(7):372–378

    Article  Google Scholar 

  13. Kingsbury N (2002) Complex wavelets for shift invariant analysis and filtering of signals. J Appl Comput Harmonic Anal 10(3):234–253

    Google Scholar 

  14. Proenca H, Alexandre L. UBIRIS: a noisy iris image database. www.iris.di.ubi.pt

  15. Multimedia University (2004) MMU iris image database. http://pesona.mmu.edu.my/ccteo

  16. CASIA iris image database. http://www.sinobiometrics.com/casiairis.htm

  17. IITD iris image database. http://web.iitd.ac.in

  18. Daugman JG (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern Anal Mach Intell 25(11):1148–1161

    Article  Google Scholar 

  19. Monro DM, Rakshit S, Zhang D (2007) Dct based iris recognition. IEEE Trans Pattern Anal Mach Intell 29(4):586–595

    Article  Google Scholar 

  20. Sun Z, Tan T (2009) Ordinal measures for iris recognition. IEEE Trans Pattern Anal Mach Intell 31(12):2211–2226

    Article  Google Scholar 

  21. Dong W, Tan T, Sun Z (2010) Iris matching based on personalized weight map. IEEE Trans Pattern Anal Mach Intell 99(1):1–14

    Google Scholar 

  22. Rahulkar AD, Holambe RS (2012) Partial iris feature extraction and recognition based on a new combined directional and rotated directional wavelet filter banks. Neurocomputing 1:12–23

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Instrumentation Engineering, AISSMS’ Institute of Information Technology, Pune, Maharashtra, India

    Amol D. Rahulkar

  2. Department of Instrumentation, SGGS Institute of Engineering and Technology, Nanded, Maharashtra, India

    Raghunath S. Holambe

Authors
  1. Amol D. Rahulkar
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  2. Raghunath S. Holambe
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Corresponding author

Correspondence to Amol D. Rahulkar .

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Rahulkar, A.D., Holambe, R.S. (2014). Combined Directional Wavelet Filter-Banks Based Features. In: Iris Image Recognition. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-06767-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-06767-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06766-7

  • Online ISBN: 978-3-319-06767-4

  • eBook Packages: EngineeringEngineering (R0)

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