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2014 | OriginalPaper | Buchkapitel

A Stitching Method for Large Document Images

verfasst von : Ludovic Paulhac, Jean-Philippe Domenger

Erschienen in: Graphics Recognition. Current Trends and Challenges

Verlag: Springer Berlin Heidelberg

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Abstract

In this paper, we are interested in stitching specific types of images such as schemes, cartographies, documents or drawings that have been acquired using a scanner. Because of the size of these documents, it is not possible to make one acquisition even using large scanners. The result of the acquisition is then an image mosaic that needs to be stitched to obtain the entire image. For that purpose, we propose an adaptation of feature based methods that are not directly usable with the images we want to process. Indeed, points of interest (POIs) extraction on the entire image requires too much memory and matching are not always pertinent because of the particularity of these documents. To demonstrate the good performance of our proposition, we present quantitative and qualitative results obtained using two datasets: a set of images divided synthetically and a set of images that have been acquired manually using a scanner.

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Titel: A Stitching Method for Large Document Images
verfasst von: Ludovic Paulhac
Jean-Philippe Domenger
Verlag: Springer Berlin Heidelberg
Buch: Graphics Recognition. Current Trends and Challenges
Print ISBN: 978-3-662-44853-3

Electronic ISBN: 978-3-662-44854-0

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-662-44854-0_12

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