Geometric method for document understanding and classification using on-line machine learning

Me propose a geometric method for document image processing. This research focuses on document understanding and classification by applying the Winnow algorithm, an on-line machine learning method This application stakes the document image processing more flexible with various kind of documents since the meaningful knowledge can be extracted from training examples and the model for document ti-pe can be updated when there is a new example. This research aims to anal v: a and classify scientific papers. We conduct the experiments on documents from the proceedings of various conferences to show the performance of the proposed method The experimental results are compared with the WISDOM++ system and also show the advantages of using the on-line machine learning method.