A new algorithm for removing noisy borders from monochromatic documents

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A new algorithm for removing noisy borders from monochromatic documents

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Symposium on Applied Computing archive
Proceedings of the 2004 ACM symposium on Applied computing table of contents

Nicosia, Cyprus

SESSION: Multimedia and visualization (MV) table of contents

Pages: 1219 - 1225

Year of Publication: 2004

ISBN:1-58113-812-1

Authors

Bruno Tenório Ávila	Universidade Federal de Pernambuco, Recife - PE, Brazil
Rafael Dueire Lins	Universidade Federal de Pernambuco, Recife - PE, Brazil

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 35, Citation Count: 2

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

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ABSTRACT

This paper presents a new and efficient algorithm for removing noisy borders in monochromatic images of documents introduced by the digitalisation process using automatically fed scanners.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	B. T. Ávila and R. D. Lins, An Efficient Algorithm for Noisy Border Removal in Monochromatic Documents, in preparation.
	2	C. A. B. Mello and R. D. Lins. A Comparative Study on OCR Tools. Proceedings of Vision Interface 99, pp. 700--704, Québec, Canada, May, 1999.
	3	C. A. B. Mello and R. D. Lins. Image Segmentation of Historical Documents, Visual 2000, August 2000, Mexico.
	4	D. X. Le, Automated Borders Detection and Adaptive Segmentation for Binary Document Images. National Library of Medicine. http://archive.nlm.nih.gov/pubs/le/twocols.php
	5	L. G. Shapiro and G. C. Stockman, Computer Vision, March 2000. http://www.cse.msu.edu/~stockman/Book/book.html.
	6	Larry O'Gorman , Lawrence O'Gorman , Rangachar Kasturi, Document Image Analysis: An Executive Briefing, IEEE Computer Society Press, Los Alamitos, CA, 1997
	7	Marc Berger, Computer Graphics with Pascal, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1986
	8	R. D. Lins and D. S. A.Machado, A Comparative Study of File Formats for Image Storage File Transmission, Journal of Electronic Imaging, Vol. 13 no 1, January 2004.
	9	Rafael Dueire Lins , Mário Guimarães Neto , Leopoldo Fraņa Neto , Luciano Galdino Rosa, An environment for processing images of historical documents, Microprocessing and Microprogramming, v.40 n.10-12, p.939-942, Dec. 1994
	10	Rafael C. Gonzalez , Richard E. Woods, Digital Image Processing, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1992
	11	BlackIce Document Imaging SDK 10.BlackIce Software Inc. http://www.blackice.com.
	12	Kodak Digital Science Scanner 1500. http://www.kodak.com/global/en/business/docimaging/1500002.
	13	Leadtools 13. Leadtools Inc. http://www.leadtools.com.
	14	ScanFix Bitonal Image Optimizer 4.21. TMSSequoia, http://www.tmsinc.com.
	15	Skyline Tools Corporate Suite 7. Skyline Tools Imaging. http://www.skylinetools.com.

CITED BY 2

	Rafael Dueire Lins , Bruno Tenório Ávila, BigBatch: a toolbox for monochromatic documents, Proceedings of the 2005 ACM symposium on Document engineering, November 02-04, 2005, Bristol, United Kingdom
	Giorgia Mattos , Rafael Dueire Lins , Andrei de Araújo Formiga , Fernando Mário Junqueira Martins, BigBatch: a document processing platform for clusters and grids, Proceedings of the 2008 ACM symposium on Applied computing, March 16-20, 2008, Fortaleza, Ceara, Brazil

INDEX TERMS

Keywords:
binary images, border removal, document image analysis

Collaborative Colleagues:

Bruno Tenório Ávila: colleagues

Rafael Dueire Lins: colleagues

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