Document Image Zone Classification - A Simple High-Performance Approach

Daniel Keysers, Faisal Shafait, Thomas Breuel
Proceedings VISAPP 2007, Pages 44-51, -, 2007


We describe a simple, fast, and accurate system for document image zone classification -- an important sub-problem 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.




@inproceedings{ KEYS2007,
	Title = {Document Image Zone Classification - A Simple High-Performance Approach},
	Author = {Daniel Keysers and Faisal Shafait and Thomas Breuel},
	BookTitle = {Proceedings VISAPP 2007},
	Year = {2007},
	Publisher = {-},
	Pages = {44-51}

Last modified:: 30.08.2016