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
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