The Choquet fuzzy integral provides a useful mechanism for evidence aggregation. It is a flexible method which can represent weighted averages, medians, order statistics, and many other information aggregation mechanisms. In this paper, two applications are described to handwritten word recognition: as a match function in a dynamic programming based classifier and as a method for fusing the results from multiple word recognition algorithms. In the first case, the results are compared with traditional methods. In the second case, the results are compared with neural network and Borda count approaches.