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Verónica Romero, Alejandro H. Toselli, Jorge Civera, Enrique Vidal. Improvements in the Computer Assisted Transciption System of Handwritten Text Images. Proc. of the 8th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2008), 2008. pp. 103-112.

perfect. Therefore, once the full recognition process of a handwritten text image has finished, heavy human intervention is required in order to correct the results of such systems. As an alternative, an interactive framework has been presented in previous works. The results obtained in these works show that significant amounts of human effort can be saved. Here a new way to interact with this interactive system is proposed. Now, as soon as the user points to the next system error, the system proposes a new suitable continuation. This way, many explicit user corrections are avoided. Empirical results suggest that the new interaction method can lead to further improvements in user productivity..