DOCUMENT IMAGE ZONE CLASSIFICATION - A Simple High-Performance Approach
Daniel Keysers, Faisal Shafait, Thomas Michael Breuel · 2007
We describe a simple, fast, and accurate system for document image zone classification — an important subproblem of document image analysis — that results from a detailed analysis of different features. Using a novel combination of known algorithms, we achieve a very competitive error rate of 1.46 % (n = 13811) in comparison to (Wang et al., 2006) who report an error rate of 1.55 % (n = 24177) using more complicated techniques. The experiments were performed on zones extracted from the widely used UW-III database, which is representative of images of scanned journal pages and contains ground-truthed real-world data. 1