Active Contour based Automatic Feedback for Optical Character Recognition

Joanna Isabelle Olszewska

2014

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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