On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier, a new classification method based on normalized Euclidian distance, called WMDC(weighted minimum distance classifier), was proposed.

Method of dynamic ensemble of multiple classifiers based on information entropy;

This paper analyzes the importance of combining multiple classifiers from the point of view of information entropy theory.

Offline Handwriting Identification Multi-classifier Study;

In this paper a new intrusion detection approach using multi-classifier combination based on fea-ture analysis is proposed.

This paper develops study based on these emphases, and proposed a Face Recognition Technology which combined the technology based on Wavelet Transform with Multi-feature Multi-classifier.

Many features have been used in face recognition, and different features reflect the different property of the image, so it will improve the ability of recognition by using combining multiple features and multiple classifier.

This thesis tries to apply new techniques of multiple classifier fusion to the area of identification of the marrow cells, and make efforts to meliora.