Creative Commons CCZero (CC0-1.0), Open Data Commons Public Domain Dedication and Licence (PDDL-1.0)
Economy and Finance, Government and Public Sector, Justice, Legal System and Public Safety, Science and Technology
ARFF, CSV, JSON, RDF, XLS / XLSX
PERSONAL DATA PROTECTION
No personal data
* Please note that the classification is taken from the original source
Dataset about distinguishing genuine and forged banknotes. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 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. A Wavelet Transform tool was used to extract features from these images.
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