J. Sauvola, Machine Vision & Media Process. Group, Oulu Univ., Finland
S. Haapakoski, Machine Vision & Media Process. Group, Oulu Univ., Finland
H. Kauniskangas, Machine Vision & Media Process. Group, Oulu Univ., Finland
T. Seppanen, Machine Vision & Media Process. Group, Oulu Univ., Finland
M. Pietiklainen, Machine Vision & Media Process. Group, Oulu Univ., Finland
D. Doermann, Machine Vision & Media Process. Group, Oulu Univ., Finland
We describe a new approach to manage the testing of document analysis and understanding applications. We propose and present a collection of document images, a set of techniques to prepare the test cases interactively and means to control the testing process. The systems architecture is designed to be distributed, scalable and platform independent utilizing Java, C++ and object-oriented databases. The main features of this system are a basic document categorization and ground truth, degradation models, custom test case creation facilities, a test management module (pipelining, test history), the ability to embed document analysis algorithms into the system, remote usage facilities and robust graphical user interfaces.
Index Terms:
document image processing; distributed management system; document image analysis algorithm testing; document understanding application; document images; test cases; systems architecture; platform independent; Java; C++; object-oriented databases; document categorization; degradation models; custom test case creation; test management module; graphical user interfaces
Citation:
J. Sauvola, S. Haapakoski, H. Kauniskangas, T. Seppanen, M. Pietiklainen, D. Doermann, "A distributed management system for testing document image analysis algorithms," icdar, pp.989, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997