Text Extraction from Document Images using Edge Information

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1236

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DC Field	Value	Language
dc.contributor.author	Grover, S	-
dc.contributor.author	Arora, K	-
dc.contributor.author	Mitra, S K	-
dc.date.accessioned	2010-04-26T11:02:05Z	-
dc.date.available	2010-04-26T11:02:05Z	-
dc.date.issued	2009	-
dc.identifier.citation	IEEE India Council Conference, INDICON 2009; Ahmedabad; 18 December 2009 through 20 December 2009; Category number CFP09598; Code 79708; Article number 5409409	en
dc.identifier.uri	http://dx.doi.org/10.1109/INDCON.2009.5409409	-
dc.identifier.uri	http://hdl.handle.net/2080/1236	-
dc.description.abstract	Detection of text from documents in which text is embedded in complex colored document images is a very challenging problem. There are a lot of potential uses of text extraction in image searching, archiving documents etc. In this paper, we propose a simple edge based feature to perform this task. It aims at detecting textual regions from the document and separating it from the graphics portion. The algorithm is based on the sharp edges of the characters which are missing in images. We find these edges and use them to classify text from images. This edge information can also be used for other image interpretation tasks.	en
dc.format.extent	647464 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	Text Extraction from Document Images using Edge Information	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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