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Authors: Louisa Kessi ; Frank Lebourgeois and Christophe Garcia

Affiliation: Université de Lyon, INSA-Lyon and LIRIS, France

ISBN: 978-989-758-089-5

Keyword(s): The Paper Business Documents, Document Image Analysis, NonLocal-Means, Image Registration.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image Registration

Abstract: Most of business documents, in particular invoices, are composed of an existing color template and an added filled-in text by the users. The direct layout analysis without separating the preprinted form from the added text is difficult and not efficient. Previous works use both local features and global layout knowledge to separate the pre-printed forms and the added text. Although for real applications, they are even exposed to a great improvement. This paper presents the first pixel-based image registration of color business documents based on the NonLocal-Means (NLM) method. We prove that the NLM, commonly used for image denoising, can be also adapted to images registration at the pixel level. Our intuition tends to look for a similar neighbourhood from the first image I1 into the second image I2 and provide both an exact image registration with a precision at pixel level and noise removal. We show the feasibility of this approach on several color images of various invoices and for ms in real situation and its application to the layout analysis. Applied on color documents, the proposed algorithm shows the benefits of the NLM in this context. (More)

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Paper citation in several formats:
Kessi, L.; Lebourgeois, F. and Garcia, C. (2015). An Efficient Image Registration Method based on Modified NonLocal-Means - Application to Color Business Document Images.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 166-173. DOI: 10.5220/0005315301660173

@conference{visapp15,
author={Louisa Kessi. and Frank Lebourgeois. and Christophe Garcia.},
title={An Efficient Image Registration Method based on Modified NonLocal-Means - Application to Color Business Document Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={166-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005315301660173},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - An Efficient Image Registration Method based on Modified NonLocal-Means - Application to Color Business Document Images
SN - 978-989-758-089-5
AU - Kessi, L.
AU - Lebourgeois, F.
AU - Garcia, C.
PY - 2015
SP - 166
EP - 173
DO - 10.5220/0005315301660173

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