DocumentCode :
2029408
Title :
Text line segmentation in handwritten document using a production system
Author :
Nicolas, Stéphane ; Paquet, Thierry ; Heutte, Laurent
Author_Institution :
Laboratoire PSIFRE CNRS, Rouen Univ., Mont Saint Aignan, France
fYear :
2004
fDate :
26-29 Oct. 2004
Firstpage :
245
Lastpage :
250
Abstract :
We present in this paper a digitization project of cultural heritage manuscripts and we discuss the underlying problems, particularly those relative to document analysis. Considering the drawbacks of traditional methods for text line extraction in handwritten documents, we propose to adopt a new approach for handwritten page segmentation, based on a traditional problem solving framework used in artificial intelligence.
Keywords :
artificial intelligence; document image processing; feature extraction; handwritten character recognition; image segmentation; artificial intelligence; cultural heritage manuscripts; digitization project; handwritten document; handwritten page segmentation; production system; text line extraction; Artificial intelligence; Cost accounting; Cultural differences; Image analysis; Problem-solving; Production systems; Protection; Search engines; Software libraries; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
ISSN :
1550-5235
Print_ISBN :
0-7695-2187-8
Type :
conf
DOI :
10.1109/IWFHR.2004.100
Filename :
1363918
Link To Document :
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