Class-confidence critic combining

Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas

Abstract: This paper discusses a combination of two techniques for improving the recognition accuracy of on-line handwritten character recognition: committee classification and adaptation to the user. A novel adaptive committee structure, namely the class-confidence critic combination (CCCC) scheme, is presented and evaluated. It is shown to be able to improve significantly on its member classifiers. Also the effect of having either more or less diverse sets of member classifiers is considered.