DAN: An automatic segmentation and classification engine for paper documents

L. Cinque; S. Levialdi; A. Malizia; F. De Rosa

DAN: An automatic segmentation and classification engine for paper documents

L. Cinque, S. Levialdi, A. Malizia, F. De Rosa

School of Creative Arts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

The paper documents 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 system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.

Original language	English
Title of host publication	Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings
Publisher	Springer Nature Link
Pages	491-502
Number of pages	12
Volume	2423
ISBN (Print)	3540440682, 9783540440680
Publication status	Published - 2002
Event	5th International Workshop on Document Analysis Systems, DAS 2002 - Princeton, United States Duration: 19 Aug 2002 → 21 Aug 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2423
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Workshop on Document Analysis Systems, DAS 2002
Country/Territory	United States
City	Princeton
Period	19/08/02 → 21/08/02

Cite this

Cinque, L., Levialdi, S., Malizia, A., & De Rosa, F. (2002). DAN: An automatic segmentation and classification engine for paper documents. In Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings (Vol. 2423, pp. 491-502). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2423). Springer Nature Link.

Cinque, L. ; Levialdi, S. ; Malizia, A. et al. / DAN : An automatic segmentation and classification engine for paper documents. Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. Vol. 2423 Springer Nature Link, 2002. pp. 491-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "DAN: An automatic segmentation and classification engine for paper documents",

abstract = "The paper documents 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 system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.",

author = "L. Cinque and S. Levialdi and A. Malizia and {De Rosa}, F.",

year = "2002",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Nature Link",

pages = "491--502",

booktitle = "Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings",

address = "Netherlands",

note = "5th International Workshop on Document Analysis Systems, DAS 2002 ; Conference date: 19-08-2002 Through 21-08-2002",

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Cinque, L, Levialdi, S, Malizia, A & De Rosa, F 2002, DAN: An automatic segmentation and classification engine for paper documents. in Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. vol. 2423, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2423, Springer Nature Link, pp. 491-502, 5th International Workshop on Document Analysis Systems, DAS 2002, Princeton, United States, 19/08/02.

DAN: An automatic segmentation and classification engine for paper documents. / Cinque, L.; Levialdi, S.; Malizia, A. et al.
Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. Vol. 2423 Springer Nature Link, 2002. p. 491-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2423).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - DAN

T2 - 5th International Workshop on Document Analysis Systems, DAS 2002

AU - Cinque, L.

AU - Levialdi, S.

AU - Malizia, A.

AU - De Rosa, F.

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AB - The paper documents 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 system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.

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SN - 9783540440680

VL - 2423

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings

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Cinque L, Levialdi S, Malizia A, De Rosa F. DAN: An automatic segmentation and classification engine for paper documents. In Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings. Vol. 2423. Springer Nature Link. 2002. p. 491-502. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

DAN: An automatic segmentation and classification engine for paper documents

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