Monk Cuper Set (MCS) for benchmarking historical document image binarization

****************************<br> Monk Cuper Set (MCS): used for document binarization and enhancement Images are collected on the book Cuper on Monk system.<br> Monkweb.nl Ground-Truth are labelled by Zhenwei Shi. If you use this data set, please cite the paper: DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning.<br> Pattern Recognition. https://www.sciencedirect.com/science/article/abs/pii/S0031320319300330 File names: Cuper-*.png : the original input image<br> GT-Cuper-*.png : the ground-truth labeled by Zhenwei Shi<br> ________________________________________________________________________ The document images were collected by Jetze Touber of the University of Gent in his study: Jetze Touber (2016)<br> De actualiteit van de klassieken bij Gisbert Cuper Weegblad :<br> Nieuwsblad van de Vereniging De Waag. 8(1). p.6-7, http://hdl.handle.net/1854/LU-8511610 This 17th century Cuper-Braun collection in the Monk system, concerns a series of European scholarly letters by different writers.<br> They write in a multitude of languages, switching from Latin to French, interjecting the text with phrases in Greek and Hebrew. Jetze Touber collected the images using his 2014/2015 Apple iPhone,scholarly letters from Johannes Braunius and Gisbert Cuper in the archives. The scans contain chromatic aberration, focus variation (on top of the traditional problems with historical manuscripts). Contains: 31 .png images and their corresponding ground truth ('GT') binarized versions.