Title :
eXEDRA: a complete open source architecture for paper document recognition
Author :
Cinque, L. ; Levialdi, S. ; Malizia, A.
Author_Institution :
Comput. Sci. Dept., Univ. "La Sapienza" of Rome
Abstract :
The automatic document recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new architecture for document recognition that follows the open source methodologies for documents segmentation and classification, which turns to be beneficial in terms of computation efficiency, general-purpose availability and cost
Keywords :
data acquisition; document image processing; image classification; image segmentation; office automation; automatic document recognition; data acquisition; document classification; documents segmentation; eXEDRA; office automation; open source architecture; Automation; Computer architecture; Computer science; Costs; Data acquisition; Data mining; Engines; Image recognition; Indexing; Text analysis;
Conference_Titel :
Computer Architectures for Machine Perception, 2003 IEEE International Workshop on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-7970-5
DOI :
10.1109/CAMP.2003.1598152
