@inProceedings{
 title = {Automatic ground-truth generation for skew-tolerance evaluation of document layout analysis methods.},
 type = {inProceedings},
 year = {2000},
 id = {ccd7f4ac-8b32-38eb-89c6-323442a2f84d},
 created = {2019-11-19T13:00:36.198Z},
 file_attached = {false},
 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
 group_id = {17585b85-df99-3a34-98c2-c73e593397d7},
 last_modified = {2019-11-19T13:45:29.673Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {mvg:122},
 source_type = {inproceedings},
 notes = {Proc. 15th International Conference on Pattern Recognition, September 3-8, Barcelona, Spain, 4:376-379.},
 private_publication = {false},
 abstract = {Generation of ground-truths is of great importance for unbiased performance evaluation of document layout analysis methods. This is especially necessary because many methods are claimed to be skew-tolerant. However, experimental evaluation of this fact is often based only on human subjective judgement and restricted to a few experiments. The main obstacle for obtaining human-independent and more automated performance evaluation is that usually there are only ground-truths for upright images, i.e., images with no skew of text lines, because currently available ground-truthing techniques are too time-consuming. In this paper, we propose a new methodology of automatic generation of ground-truths for skewed images by using the ground-truths available for upright images. This methodology is simple and quite fast because processing is done at the level of small square blocks, but not at pixel level.},
 bibtype = {inProceedings},
 author = {M, Okun O & Pietikäinen}
}

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