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Proceedings Paper

Camera-based document image mosaicing using LLAH
Author(s): Tomohiro Nakai; Koichi Kise; Masakazu Iwamura
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Paper Abstract

In this paper we propose a mosaicing method of camera-captured document images. Since document images captured using digital cameras suffer from perspective distortion, their alignment is a diffcult task for previous methods. In the proposed method, correspondences of feature points are calculated using an image retrieval method LLAH. Document images are aligned using a perspective transformation parameter estimated from the correspondences. Since LLAH is invariant to perspective distortion, feature points can be matched without compensation of perspective distortion. Experimental results show that document images captured by a digital camera can be stitched using the proposed method.

Paper Details

Date Published: 19 January 2009
PDF: 10 pages
Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470O (19 January 2009); doi: 10.1117/12.805949
Show Author Affiliations
Tomohiro Nakai, Osaka Prefecture Univ. (Japan)
Koichi Kise, Osaka Prefecture Univ. (Japan)
Masakazu Iwamura, Osaka Prefecture Univ. (Japan)

Published in SPIE Proceedings Vol. 7247:
Document Recognition and Retrieval XVI
Kathrin Berkner; Laurence Likforman-Sulem, Editor(s)

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