Title :
Text line segmentation by adapted water flow algorithm
Author :
Darko Brodic;Zoran Milivojević
Author_Institution :
University of Belgrade, Technical Faculty Bor, Vojske Jugoslavije 12, 19210 Bor, Serbia
Abstract :
This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow angle and unwetted image frames function enlargement. Results are encouraging due to text line segmentation improvement which is the most challenging process stage in document image processing.
Keywords :
"Pixel","Image segmentation","Algorithm design and analysis","Text analysis","Transforms","Hidden Markov models","Character recognition"
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
Print_ISBN :
978-1-4244-8821-6
DOI :
10.1109/NEUREL.2010.5644057