Data were extracted from images that were taken from genuine class = 1
and forged class = 0 banknote-like specimens. For digitization, an
industrial camera usually used for print inspection was used. The final
images contained 400 x 400 pixels. Due to the object lens and distance to the
investigated object, gray-scale pictures with a resolution of about 660 dpi
were gained. Wavelet transformation tools were used to extract features from
the images.
A data frame with 1372 rows and 5 variables.
Variance of the wavelet transformed image (continuous)
Skewness of the wavelet transformed image (continuous)
Kurtosis of the wavelet transformed image (continuous)
Entropy of the image (continuous)
Integer specifying whether or not the specimen was genuine
(class = 1) or forged (class = 0).