A document image analysis toolbox including a collection of data structures and algorithms to support a variety of applications, is described in this paper. An experimental environment is built to allow developers to develop, test and optimize their algorithms and systems. Appropriate and quantitative performance metrics for each kind of information a document analysis technique infers have been developed. The performance of each algorithm has been evaluated based on these metrics and the UW-III document image database which contains a total of 1600 English document images randomly selected from scientific and technical journals.
['Jisheng Liang', 'Richard Rogers', 'Robert M. Haralick', 'Ihsin T. Phillips']
UW-ISL document image analysis toolbox: an experimental environment