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Authors: Thomas Konidaris 1 ; Volker Märgner 2 ; Hussein Adnan Mohammed 1 and H. Siegfried Stiehl 3

Affiliations: 1 Centre for the Study of Manuscript Cultures, Universität Hamburg, Hamburg and Germany ; 2 Centre for the Study of Manuscript Cultures, Universität Hamburg, Hamburg, Germany, Technische Universität Braunschweig, Braunschweig and Germany ; 3 Centre for the Study of Manuscript Cultures, Universität Hamburg, Hamburg, Germany, Department of Informatics, Universität Hamburg, Hamburg and Germany

Keyword(s): Document Analysis, Word Spotting, SIFT Features, Image Matching.

Abstract: In this paper we propose a method for eliminating SIFT keypoints in document images. The proposed method is applied as a first step towards word spotting. One key issue when using SIFT keypoints in document images is that a large number of keypoints can be found in non-textual regions. It would be ideal if we could eliminate as much as irrelevant keypoints as possible in order to speed-up processing. This is accomplished by altering the original matching process of SIFT descriptors using an iterative process that enables the detection of keypoints that belong to multiple correct instances throughout the document image, which is an issue that the original SIFT algorithm cannot tackle in a satisfactory way. The proposed method manages a reduction over 99% of the extracted keypoints with satisfactory performance.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Konidaris, T.; Märgner, V.; Mohammed, H. and Stiehl, H. (2019). Efficient Keypoint Reduction for Document Image Matching. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 664-670. DOI: 10.5220/0007412006640670

@conference{icpram19,
author={Thomas Konidaris. and Volker Märgner. and Hussein Adnan Mohammed. and H. Siegfried Stiehl.},
title={Efficient Keypoint Reduction for Document Image Matching},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={664-670},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007412006640670},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Efficient Keypoint Reduction for Document Image Matching
SN - 978-989-758-351-3
IS - 2184-4313
AU - Konidaris, T.
AU - Märgner, V.
AU - Mohammed, H.
AU - Stiehl, H.
PY - 2019
SP - 664
EP - 670
DO - 10.5220/0007412006640670
PB - SciTePress