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Computer Information Systems – Analysis and Technologies pp 121–127Cite as

Fast Feature Extractors for Palmprint Biometrics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 245))

Abstract

In this paper we propose to use fast feature extractors for contactless palmprint biometric system dedicated for mobile devices. We present texture feature extraction methods based on box functions, PCA and Matching Pursuit algorithm. Such methods should be effective and computationally robust to be deployable on mobile devices.

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References

  1. Fratric, I., Ribaric, S.: Real-Time Model-Based Hand Localization for Unsupervised Palmar Image Acquisition. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 1280–1289. Springer, Heidelberg (2009)

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  2. Methani, C., Namboodiri, A.M.: Pose Invariant Palmprint Recognition. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 577–586. Springer, Heidelberg (2009)

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  3. Doublet, J., Lepetit, O., Revenu, M.: Contact less palmprint authentication using circular Gabor filter and approximated string matching. In: Proc. of Signal and Image Processing (SIP), Honolulu, United States (2007)

    Google Scholar 

  4. Han, Y., Tan, T., Sun, Z., Hao, Y.: Embedded Palmprint Recognition System on Mobile Devices. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 1184–1193. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  5. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. 511–518 (2001)

    Google Scholar 

  6. Choraś, M.: Novel techniques applied to biometric human identification. Electronics 3/2009 (March 2009)

    Google Scholar 

  7. Choraś, M.: Emerging Methods of Biometrics Human Identification. In: Proc. of 2nd International Conference on Innovative Computing, Information and Control (ICICIC 2007), p. 365. IEEE CS Press, Kumamoto (2007)

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  8. Kozik, R., Choraś, M.: Combined Shape and Texture Information for Palmprint Biometrics. Journal of Information Assurance and Security 5(1), 58–63 (2010)

    MATH  Google Scholar 

  9. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Telecommunications, University of Technology & Life Sciences, Bydgoszcz, Poland

    Michał Choraś & Rafał Kozik

Authors
  1. Michał Choraś
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  2. Rafał Kozik
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, 92 APC Road, 700009, Kolkata, India

    Nabendu Chaki

  2. Università Ca’ Foscari di Venezia, via Torino 155, 30172, Mestre, Italy

    Agostino Cortesi

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Choraś, M., Kozik, R. (2011). Fast Feature Extractors for Palmprint Biometrics. In: Chaki, N., Cortesi, A. (eds) Computer Information Systems – Analysis and Technologies. Communications in Computer and Information Science, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27245-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-27245-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27244-8

  • Online ISBN: 978-3-642-27245-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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