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Authors: H. Waruna H. Premachandra 1 ; Chinthaka Premachandra 2 ; Chandana Dinesh Parape 3 and Hiroharu Kawanaka 4

Affiliations: 1 Wayamba University of Srilanka, Sri Lanka ; 2 Tokyo University of Science, Japan ; 3 Kyoto University, Japan ; 4 Mie University, Japan

Keyword(s): Line Detection, Hough Space Minimization, Large Document Image, Parallel Pixel Scanning, Speed-up Image Processing.

Abstract: Hough transform (HT) is typically used to detect lines in images, but that method is slow due to its use of voting-based parameter detection; detecting lines in large document images can take dozens of minutes. Nonetheless HT is very effective at detecting lines, so we investigate methods for fast HT-based line detection of large document images by minimizing Hough space processing and reducing the image area used for line detection with parallel pixel scanning and local image domain analysis. We conduct experiments to confirm the effectiveness of the proposed method using appropriate large documents images. The results show a significant computational time reduction as compared to conventional methods.

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Paper citation in several formats:
Premachandra, H.; Premachandra, C.; Parape, C. and Kawanaka, H. (2016). Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 765-769. DOI: 10.5220/0005840707650769

@conference{vision4hci16,
author={H. Waruna H. Premachandra. and Chinthaka Premachandra. and Chandana Dinesh Parape. and Hiroharu Kawanaka.},
title={Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI},
year={2016},
pages={765-769},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005840707650769},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI
TI - Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization
SN - 978-989-758-175-5
IS - 2184-4321
AU - Premachandra, H.
AU - Premachandra, C.
AU - Parape, C.
AU - Kawanaka, H.
PY - 2016
SP - 765
EP - 769
DO - 10.5220/0005840707650769
PB - SciTePress

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