Optimization of the extended water flow algorithm for the text-line segmentation

The paper proposed an approach for the optimization of the water flow algorithm for the text-line segmentation. Original method assumed the hypothetical water that flows to the document image frame from left to right and vice versa. It used the water flow angle as the only parameter. Algorithm´s extended version introduced a water flow function, which is given as the power function. It exploited two parameters: water flow angle α and exponent n. To optimize these two parameters artificial neural network has been used. Results are encouraging because of the improvement of the text-line segmentation results.