Journal Published Online: 01 September 2002
Volume 47, Issue 5

A Discrimination Method for Paper by Fourier Transform and Cross Correlation

CODEN: JFSCAS

Abstract

A non-destructive method for discriminating between different types of paper has been proposed, using image analysis, Fourier transformation, and cross-correlation matching. A fast Fourier transform (FFT) is used to extract the periodicity in the structure of paper that results from the manufacturing processes. The light-transmission images of the paper to be Fourier transformed are obtained from a flatbed image scanner. The similarity between the power spectrum of the FFT of the sample and that of a reference is quantified using a cross-correlation matching method. An advantage of using frequency analysis is that periodicity can be detected even if the sample is damaged or is printed on. The technique works on samples as small as 2 cm 2 .

Author Information

Miyata, H
Criminal Investigation Laboratory, Tokyo, Japan
Shinozaki, M
Oji Paper Co. Ltd., Advanced Technology Research Laboratory, Hyogo, Japan
Nakayama, T
Graduate School of Agriculture and Life Science, Laboratory of Pulp & Paper Science, The University of Tokyo, Tokyo, Japan
Enomae, T
Graduate School of Agriculture and Life Science, Laboratory of Pulp & Paper Science, The University of Tokyo, Tokyo, Japan
Pages: 8
Price: $25.00
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Details
Stock #: JFS15491J
ISSN: 0022-1198
DOI: 10.1520/JFS15491J