Classification method study for automatic form class identification

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.