PT Unknown
AU Francisco Cruz
   Oriol Ramos Terrades
TI Document segmentation using relative location features
BT 21st International Conference on Pattern Recognition
PY 2012
BP 1562
EP 1565
AB In this paper we evaluate the use of Relative Location Features (RLF) on a historical document segmentation task, and compare the quality of the results obtained on structured and unstructured documents using RLF and not using them. We prove that using these features improve the final segmentation on documents with a strong structure, while their application on unstructured documents does not show significant improvement. Although this paper is not focused on segmenting unstructured documents, results obtained on a benchmark dataset are equal or even overcome previous results of similar works.
ER