banknote-authentication
OpenML dataset with id 1462
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/1586223/banknote-authentication.arff
Upload date: 21 May 2015
Dataset Characteristics
Number of classes: 2
Number of features: 5 (numeric: 4, symbolic: 1 and in total binary: 1 )
Number of instances: 1,372
Number of instances with missing values: 0
Number of missing values: 0
Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) Source: UCI - 2012 Please cite: UCI
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.
Attribute Information
V1. variance of Wavelet Transformed image (continuous) V2. skewness of Wavelet Transformed image (continuous) V3. curtosis of Wavelet Transformed image (continuous) V4. entropy of image (continuous)
Class (target). Presumably 1 for genuine and 2 for forged
This page was built for dataset: banknote-authentication
