A framework for training and testing of complex pattern recognition systems

The paper describes the C++ framework that was developed to simplify the process of pattern recognition system creation and to provide the test bench for evaluation of the algorithms on large datasets. The clearly defined architecture and many ready to use modules help the researchers to focus on the implementation of the most important concepts; moreover, the framework supports the development of reusable code packages and allows for easy switching between different system´s configurations.