Pattern Recognition and Image Analysis

, Volume 16, Issue 3, pp 425–431

Adaptive correlation filters for pattern recognition

  • V. Kober
  • M. Mozerov
  • I. A. Ovseevich
Image Processing, Analysis, Recognition, and Understanding


Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.


pattern recognition correlation filters adaptive filters 


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Copyright information

© Pleiades Publishing, Inc. 2006

Authors and Affiliations

  • V. Kober
    • 1
    • 2
  • M. Mozerov
    • 2
  • I. A. Ovseevich
    • 2
  1. 1.Department of Computer ScienceDivision of Applied Physics CICESEEnsenadaMexico
  2. 2.Institute for Information Transmissions Problems of RAS MoscowMoscowRussia

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