ICDAR 2019 Time-Quality Binarization Competition
The ICDAR 2019 Time-Quality Binarization Competition assessed the performance of seventeen new together with thirty previously published binarization algorithms. The quality of the resulting two-tone image and the execution time were assessed. Comparisons were on both in "real-world" and synthetic scanned images, and in documents photographed with four models of widely used portable phones. Most of the submitted algorithms employed machine learning techniques and performed best on the most complex images. Traditional algorithms provided very good results at a fraction of the time.
Lins, Rafael Dueire; Kavallieratou, Ergina; Barney Smith, Elisa; Bernardino, Rodrigo Barros; and de Jesus, Darlisson Marinho. (2019). "ICDAR 2019 Time-Quality Binarization Competition". Proceedings: The 15th IAPR International Conference on Document Analysis and Recognition, 1539-1546. https://dx.doi.org/10.1109/ICDAR.2019.00248