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.
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Brodić, D., Milivojević, Z.N., Tanikić, D., Milivojević, D.R. (2012). An Approach for Tuning the Parametric Water Flow Algorithm Based on ANN. In: Sombattheera, C., Loi, N.K., Wankar, R., Quan, T. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2012. Lecture Notes in Computer Science(), vol 7694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35455-7_1
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DOI: https://doi.org/10.1007/978-3-642-35455-7_1
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