An approach for tuning the parametric water flow algorithm based on ANN

Abstract

The manuscript proposed an approach for the optimization of the parametric water flow algorithm. This algorithm introduced a water flow function as a basis for the text-line segmentation process. The function is established as the power function. It exploited two parameters: water flow angle α and exponent n. In order to tune these parameters, the artificial neural network has been used. Results are encouraging because of the improvement of the text-line segmentation for the handwritten text. © 2012 Springer-Verlag.