DocumentCode :
3638947
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
fYear :
2010
Firstpage :
225
Lastpage :
229
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"
Publisher :
ieee
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
Print_ISBN :
978-1-4244-8821-6
Type :
conf
DOI :
10.1109/NEUREL.2010.5644057
Filename :
5644057
Link To Document :
بازگشت