DocumentCode :
3316185
Title :
A Hough based algorithm for extracting text lines in handwritten documents
Author :
Likforman-Sulem, Laurence ; Hanimyan, Anadid ; Faure, Claudie
Author_Institution :
Ecole Nat. Superieure des Telecommun., Paris, France
Volume :
2
fYear :
1995
fDate :
14-16 Aug 1995
Firstpage :
774
Abstract :
The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotations between main lines. The method has a hypothesis-validation strategy which is iteratively activated until the end of the segmentation is reached. At each stage of the process, the best text-line hypothesis is generated in the Hough domain. Taking into account the fluctuations of the text-line components. Afterwards, the validity of the line is checked in the image domain using a proximity criteria which analyses the context in which is perceived the alignment hypothesized. Ambiguous components belonging to several text lines are also marked
Keywords :
Hough transforms; feature extraction; handwriting recognition; Hough based algorithm; handwritten documents; hypothesis-validation strategy; proximity criteria; text lines extraction; text-line hypothesis; Data mining; Fluctuations; Gravity; Image analysis; Image recognition; Image segmentation; Iterative methods; Optical devices; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
Type :
conf
DOI :
10.1109/ICDAR.1995.602017
Filename :
602017
Link To Document :
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