Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Biometrics pp 1105–1111Cite as

Local Image Filters

  • Reference work entry
  • First Online:

  • 97 Accesses

Synonyms

Gabor features; LBP features

Definition

Local feature filters can be defined as operators (or filters) which are applied to an image in order to extract local characteristics describing (some) important information in the image. For instance, these characteristics (or features) can be used to detect, recognize, and analyze the objects in the image. They can also facilitate the interpretation or further processing of the image. In contrast to global features which describe the overall content and shape of the objects in the image, local features define specific information in local regions. Among the most effective operators for feature extraction are a Gabor filter and local binary patterns (LBP). Gabor filters are linear bandpass filters computed for images at different orientations and scales. The impulse response of a Gabor filter is defined by a harmonic function multiplied by a Gaussian function. Local binary patterns is a nonlinear operator which labels the pixels of an...

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   899.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. A.K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol., Spec. Issue Image- Video-Based Biom. 14(1), 4–20 (2004)

    Google Scholar 

  2. A.K. Jain, S. Prabhakar, L. Hong, S. Pankanti, Filterbank-based fingerprint matching. IEEE Trans. Image Process. 9(5), 846–859 (2000)

    Article  Google Scholar 

  3. D. Zhang, W. Kong, J. You, M. Wong, Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1041–1050 (2003)

    Article  Google Scholar 

  4. L. Wiskott, J.M. Fellous, N. Kuiger, C. Malsburg, von der Face recognition by elastic bunch graph matching. IEEE Trans. Pattern Anal. Mach. Intell. 19, 775–779 (1997)

    Google Scholar 

  5. T. Ahonen, A. Hadid, M. Pietikäinen, Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)

    Article  Google Scholar 

  6. G. Zhao, M. Pietikäinen, Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 915–928 (2007)

    Article  Google Scholar 

  7. A. Hadid, M. Pietikäinen, S.Z. Li, Learning personal specific facial dynamics for face recognition from videos, in Analysis and Modeling of Faces and Gestures (AMFG 2007), Rio de Janeiro. Lecture Notes in Computer Science, vol. 4778 (2007), pp. 1–15

    Article  Google Scholar 

  8. W. Zhang, S. Shan, W. Gao, X. Chen, H. Zhang, Local gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition, in Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV’05), Beijing, 2005, pp. 786–791

    Google Scholar 

  9. D. Gabor, Theory of communication. J. Inst. Elec. Eng. (J-IEE London) 93(26), 429–457 (1946)

    Google Scholar 

  10. G.H. Granlund, In search of a general picture processing operator. Comput. Graph. Image Process. (CGIP) 2, 155–173 (1978)

    Article  Google Scholar 

  11. J. Daugman, Uncertainty relation for resolution in space, spatial frequency and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Am. 2(7), 1160–1169 (1985)

    Article  Google Scholar 

  12. T. Ojala, M. Pietikäinen, D. Harwood, A comparative study of texture measures with classification based on feature distributions. Pattern Recognit. 29, 51–59 (1996)

    Article  Google Scholar 

  13. T. Ojala, M. Pietikäinen, T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971–987 (2002)

    Article  Google Scholar 

  14. J. Daugman, High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1993)

    Article  Google Scholar 

  15. M. Lades, J.C. Vorbrüggen, J. Buhmann, J. Lange, C. Malsburg, R.P. von der Würtz, W. Konen, Distortion invariant object recognition in the dynamic link architecture. IEEE Trans. Comput. 42, 300–311 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Oulu, Finland

    Abdenour Hadid & Matti Pietikäinen

Authors
  1. Abdenour Hadid
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Matti Pietikäinen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this entry

Cite this entry

Hadid, A., Pietikäinen, M. (2015). Local Image Filters. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_298

Download citation

Publish with us

Policies and ethics

Search

Navigation