INFOTREE: A new generic method for supervised pattern recognition based on a contextual tree
In this work a new method for pattern recognition is proposed. The model uses mutual information to extract in a systematic and hierarchic way the relevant information content in the input pattern so as to avoid preprocessing. An example of the power of the algorithm is demonstrated by its use in the recognition of heavily noisy binary printed characters.
pattern recognition contextual tree information content artificial neural networks