Difference between revisions of "Publications/fabrizio.14.icip"
From LRDE
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| booktitle = Proceedings of the 21st International Conference on Image Processing (ICIP) |
| booktitle = Proceedings of the 21st International Conference on Image Processing (ICIP) |
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| address = Paris, France |
| address = Paris, France |
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| − | | pages = |
+ | | pages = 2585 to 2588 |
| project = Image |
| project = Image |
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| urllrde = 201402-ICIPd |
| urllrde = 201402-ICIPd |
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| abstract = In this article, we propose a simple and precise skew estimation algorithm for binarized document images. The estimation is performed in the frequency domain. To get a precise result, the Fourier transform is not applied to the document itself but the document is preprocessed: all regions of the document are clustered using a KNN and contours of grouped regions are smoothed using the convex hull to form more regular shapes, with better orientation. No assumption has been made concerning the nature or the content of the document. This method has been shown to be very accurate and was ranked first at the DISEC'13 contestduring the ICDAR competitions. |
| abstract = In this article, we propose a simple and precise skew estimation algorithm for binarized document images. The estimation is performed in the frequency domain. To get a precise result, the Fourier transform is not applied to the document itself but the document is preprocessed: all regions of the document are clustered using a KNN and contours of grouped regions are smoothed using the convex hull to form more regular shapes, with better orientation. No assumption has been made concerning the nature or the content of the document. This method has been shown to be very accurate and was ranked first at the DISEC'13 contestduring the ICDAR competitions. |
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| + | | lrdepaper = http://www.lrde.epita.fr/dload/papers/fabrizio.14.icip.pdf |
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| + | | lrdeposter = http://www.lrde.epita.fr/dload/papers/fabrizio.14.icip.poster.pdf |
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| lrdekeywords = Image |
| lrdekeywords = Image |
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| − | | note = Accepted |
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| lrdenewsdate = 2014-05-26 |
| lrdenewsdate = 2014-05-26 |
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| type = inproceedings |
| type = inproceedings |
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year = 2014, |
year = 2014, |
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address = <nowiki>{</nowiki>Paris, France<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>Paris, France<nowiki>}</nowiki>, |
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| − | pages = <nowiki>{</nowiki> |
+ | pages = <nowiki>{</nowiki>2585--2588<nowiki>}</nowiki>, |
project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>In this article, we propose a simple and precise skew |
abstract = <nowiki>{</nowiki>In this article, we propose a simple and precise skew |
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content of the document. This method has been shown to be |
content of the document. This method has been shown to be |
||
very accurate and was ranked first at the DISEC'13 contest, |
very accurate and was ranked first at the DISEC'13 contest, |
||
| − | during the ICDAR competitions.<nowiki>}</nowiki> |
+ | during the ICDAR competitions.<nowiki>}</nowiki> |
| − | note = <nowiki>{</nowiki>Accepted<nowiki>}</nowiki> |
||
<nowiki>}</nowiki> |
<nowiki>}</nowiki> |
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Revision as of 10:00, 14 November 2014
- Authors
- Jonathan Fabrizio
- Where
- Proceedings of the 21st International Conference on Image Processing (ICIP)
- Place
- Paris, France
- Type
- inproceedings
- Keywords
- Image
- Date
- 2014-05-26
Abstract
In this article, we propose a simple and precise skew estimation algorithm for binarized document images. The estimation is performed in the frequency domain. To get a precise result, the Fourier transform is not applied to the document itself but the document is preprocessed: all regions of the document are clustered using a KNN and contours of grouped regions are smoothed using the convex hull to form more regular shapes, with better orientation. No assumption has been made concerning the nature or the content of the document. This method has been shown to be very accurate and was ranked first at the DISEC'13 contestduring the ICDAR competitions.
Documents
Bibtex (lrde.bib)
@InProceedings{ fabrizio.14.icip,
author = {Jonathan Fabrizio},
title = {A precise skew estimation algorithm for document images
using KNN clustering and Fourier transform},
booktitle = {Proceedings of the 21st International Conference on Image
Processing (ICIP)},
year = 2014,
address = {Paris, France},
pages = {2585--2588},
project = {Image},
abstract = {In this article, we propose a simple and precise skew
estimation algorithm for binarized document images. The
estimation is performed in the frequency domain. To get a
precise result, the Fourier transform is not applied to the
document itself but the document is preprocessed: all
regions of the document are clustered using a KNN and
contours of grouped regions are smoothed using the convex
hull to form more regular shapes, with better orientation.
No assumption has been made concerning the nature or the
content of the document. This method has been shown to be
very accurate and was ranked first at the DISEC'13 contest,
during the ICDAR competitions.}
}