Classification method study for automatic form class identification
Pierre Héroux, Segura-Velandia Diana, Arnaud Ribert, Éric Trupin · 2002
We present three classifiers used in automatic forms class identification. The first category of classifier includes the k-nearest neighbours (kNN) and the multilayer perceptron (MLP) classifiers. The second category corresponds to a new structural classifier based on tree comparison. The low level information based on a pyramidal decomposition of the document image is used by the kNN and the MLP classifiers, while the high level information represents the form content with a hierarchical structure used by the new structural classifier. Experimental results are presented. Some strategies of classifier co-operation are proposed.