Title :
Segmentation of lines in handwritten texts based on fuzzy intervals
Author :
Moghaddam, Hossein Kardan
Author_Institution :
Dept. of Comput. Eng., Univ. of Birjand, Birjand, Iran
Abstract :
Segmentation of lines between handwritten texts as one step in detecting texts has slant. In this paper a new method based on fuzzy logic is proposed in order to approximate and connect inter textual lines. This proposed method has been tested on data banks in Persian and English languages.
Keywords :
fuzzy logic; image segmentation; natural language processing; text detection; English languages; Persian languages; fuzzy intervals; fuzzy logic; handwritten texts; line segmentation; text detection; textual lines; Electronic mail; Face; Hidden Markov models; Image segmentation; Painting; Strips; Transforms; coloring algorithms; horizontal extension; textual lines segmentation;
Conference_Titel :
Pattern Recognition and Image Analysis (PRIA), 2013 First Iranian Conference on
Conference_Location :
Birjand
Print_ISBN :
978-1-4673-6204-7
DOI :
10.1109/PRIA.2013.6528439
