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Verification of Biometric Palmprint Patterns Using Optimal Trade-Off Filter Classifiers

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Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

We present results on classification of palmprint patterns from a large number of classes for biometric verification. We train optimal trade-off correlation filter classifiers with patterns of subregions of the palm as the actual biometric for the person’s identity. Our results show that with less than 5 cm2 (less than 1 in2) of the actual palm captured at a low resolution, correlation filter algorithms can verify the authenticity of the palmprint pattern with error rates below 0.5% from as many as 400 different patterns. There is no previous work on biometric palmprint recognition that studies pattern verification of such small palmprint regions with such large number of classes.

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References

  1. Zhang, D., Kong, A.W.K., You, J., Wong, M.: Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 25, 1041–1050 (2003)

    Article  Google Scholar 

  2. Shu, W., Rong, G., Bian, Z., Zhang, D.: Automatic palmprint verification. Int. J. Image Graphics 1, 135–151 (2001)

    Article  Google Scholar 

  3. Duta, N., Jain, A.K., Mardia, K.V.: Matching of palmprints. Pattern Recognition Letters 23, 477–485 (2002)

    Article  MATH  Google Scholar 

  4. Zhang, D., Shu, W.: Two novel characteristics in palmprint verification: datum point invariance and line feature matching. Pattern Recognition 32, 691–702 (1999)

    Article  Google Scholar 

  5. Kong, A.W.K., Zhang, D., Li, W.: Palmprint feature extraction using 2-D gabor filters. Pattern Recognition 36, 2339–2347 (2003)

    Article  Google Scholar 

  6. Wu, X., Zhang, D., Wang, K.: Fisherpalms based palmprint recognition. Pattern Recognition Letters 24, 2829–2838 (2003)

    Article  Google Scholar 

  7. You, J., Kong, A.W.K., Zhang, D., Cheung, K.H.: On hierarchical palmprint coding with multiple features for personal identification in large databases. IEEE Trans. Circuits Syst. Video Techn. 14, 234–243 (2004)

    Article  Google Scholar 

  8. Kong, A.W.-K., Zhang, D.: Feature-level fusion for effective palmprint authentication. In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 761–767. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Zhang, L., Zhang, D.: Characterization of palmprints by wavelet signatures via directinal context modeling. IEEE Trans. Syst. Man, and Cyber. B 34, 1335–1347 (2004)

    Article  Google Scholar 

  10. Vijaya Kumar, B.: Tutorial survey of composite filter designs for optical correlators. Applied Optics 31, 4773–4801 (1992)

    Article  Google Scholar 

  11. Hennings, P., Vijaya Kumar, B.: Palmprint recognition using correlation filter classifiers. In: Proc. of 38th Annual Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 567–571 (2004)

    Google Scholar 

  12. Vijaya Kumar, B., Savvides, M., Venkataramani, K., Xie, C., Thornton, J., Mahalanobis, A.: Biometric verification using advanced correlation filters. ao 43, 391–402 (1992)

    Google Scholar 

  13. Savvides, M.: Reduced Complexity Face Recognition using Advanced Correlation Filters and Fourier Subspace Methods for Biometric Applications. PhD thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA (2004)

    Google Scholar 

  14. Venkataramani, K.: Reduced complexity correlation filters for fingerprint verification. Master’s thesis, Carnegie Mellon University (2002)

    Google Scholar 

  15. Mahalanobis, A., Vijaya Kumar, B., Casasent, D.: Minimum average correlation energy filters. Applied Optics 26, 3633–3640 (1987)

    Article  Google Scholar 

  16. Vijaya Kumar, B.: Minimum-variance synthetic discriminant functions. J. of Opt. Soc. Am. A 3, 1579–1584 (1986)

    Article  Google Scholar 

  17. Refregier, P.: Filter design for optical pattern recognition: multicriteria optimization approach. olet 15, 854–856 (1990)

    Google Scholar 

  18. The PolyU Palmprint Database, http://www.comp.polyu.edu.hk/~biometrics

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA

    Pablo Hennings, Marios Savvides & B. V. K. Vijaya Kumar

Authors
  1. Pablo Hennings
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  2. Marios Savvides
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  3. B. V. K. Vijaya Kumar
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Hennings, P., Savvides, M., Kumar, B.V.K.V. (2005). Verification of Biometric Palmprint Patterns Using Optimal Trade-Off Filter Classifiers. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_131

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  • DOI: https://doi.org/10.1007/11559573_131

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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