CVL Ruling Database

The CVL ruling dataset was synthetically generated to allow for comparing different ruling removal methods. It is based on the ICDAR 2013 Handwriting Segmentation database [1]. It was generated by synthetically adding four different ruling images resulting in a total of 600 test images. The pixel values are: 255 background 155 ruling 100 text 0 ruling and text (overlaping) For processing, a binary image must be generated which sets all pixels to 0 that are not 255. When evaluating, the line GT image can be found by setting all pixel having value 155 to one (e.g. linImg = img == 155). The text GT image can be extracted by setting all values below 155 to zero (e.g. txtImg = img < 155). Then, true positives (tp), false positives (fp) and false negatives (fn) are defined as: tp = result & linImg & !txtImg fp = result & !txtImg fn = !result & linImg & !txtImg The database ships with a Matlab that gives evaluation results if all images are already processed.