Abstract

An issue of some interest to those in the lumber and timber industry is the rapid matching of a cut log face with its mate. For example, the U.S. Forest Service experiences a considerable loss of its valuable tree properties through poaching every year. They desire a tool that can rapidly scan a stack of cut timber faces, taken in a suspect lumber mill yard, and identify matches to a scanned photograph of stump faces of poached trees. Such a tool clearly falls into the category of a biometric identifier.

We have developed such a tool and have shown that it has usefully high biometric discrimination in the matching of a stump photograph to its cut face. It has certain limitations, described in this paper, but is otherwise eminently suitable for the task for which it was created.

Keywords

Bark 

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References

  1. 1.
    R. Mukundan, K. R. Ramakrishnan, “Moment Functions in Image Analysis”, World Scientific, 1998, pp. 57-64.Google Scholar
  2. 2.
    Chee-Way Chong, R. Mukundan, and P. Raveendran, “An Efficient Algorithm for Fast Computation of Pseudo-Zernike Moments”, Intl. Conf. on Image and Vision Computing, IVCNZ01 New Zealand, Nov. 2001, pp 237-242.Google Scholar
  3. 3.
    S.O. Belkasim, M. Shridhar and M. Ahmadi, “Pattern Recognition with Moment Invariants: A Comparative Study and New Results”, in Pattern Recognition, Vol. 24, No. 12, 1991, pp. 1117-1138.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • W. A. Barrett
    • 1
  1. 1.Department of Computer EngineeringSan Jose State UniversitySan Jose

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