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Author: Joanna Isabelle Olszewska

Affiliation: University of Gloucestershire, United Kingdom

ISBN: 978-989-758-011-6

Keyword(s): Active Contours, Multi-feature Vector Flow, Tracking, Optical Character Recognition, Pattern Recognition, Unsupervised Segmentation, Object Detection, Team Sport Video Analysis, Automated Scene Understanding.

Abstract: In this paper, we present a new optical character recognition approach. Our method combines chromaticitybased character detection with active contour segmentation in order to robustly extract optical characters from real-world images and videos. The detected character is recognized using template matching. Our developed approach has shown excellent results when applied to the automatic identification of team players from online datasets and is more efficient than the state-of-the-art methods.

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Paper citation in several formats:
Olszewska, J. (2014). Active Contour based Automatic Feedback for Optical Character Recognition.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 318-324. DOI: 10.5220/0004935603180324

@conference{mpbs14,
author={Joanna Isabelle Olszewska.},
title={Active Contour based Automatic Feedback for Optical Character Recognition},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014)},
year={2014},
pages={318-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004935603180324},
isbn={978-989-758-011-6},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014)
TI - Active Contour based Automatic Feedback for Optical Character Recognition
SN - 978-989-758-011-6
AU - Olszewska, J.
PY - 2014
SP - 318
EP - 324
DO - 10.5220/0004935603180324

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