For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
When scanning documents with a large number of pages such as books, it is often feasible to provide a minimal number of training samples to personalize the system to compensate fo...
Meshing is a popular technology for feature extraction in handwritten Chinese character recognition. In this paper, we propose a hierarchical overlapped elastic meshing (HOEM), wh...
Content-based retrieval and recognition of graphic images requires good models for symbol representation, able to identify those features providing the most relevant information a...
The Dempster-Shafer Theory of Evidence is an established method for combining different sources of information. In this paper we explore ways to improve the combination performanc...