Document layout structure extraction using bounding boxes of different entitles

The paper presents an efficient technique for document page layout structure extraction and classification by analyzing the spatial configuration of the bounding boxes of different entities on the given image. The algorithm segments an image into a list of homogeneous zones. The classification algorithm labels each zone as test, table, line-drawing, halftone, ruling, or noise. The text lines and words are extracted within text zones and neighboring text lines are merged to form text blocks. The tabular structure is further decomposed into row and column items. Finally, the document layout hierarchy is produced from these extracted entities.