Table Recognition and Evaluation

We present an algorithm that recognizes tables in document images and extracts their structural information. We use region growing to locate bounding boxes around text, and cluster them into columns by examining spatial relationships between bounding boxes and their vertical neighbors. Once initial clustering is complete, a series of post-processing steps are applied to the clusters to find columns that line up horizontally and may form tables.