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Efficient Optical Character Recognition System for Automatic Soccer Player's Identification

Alsuqayhi, A. and Olszewska, Joanna Isabelle (2013) Efficient Optical Character Recognition System for Automatic Soccer Player's Identification. In: Proceedings of the Computer Analysis of Images and Patterns workshop. Ruiz de Aloza Editores, pp. 139-150. ISBN 978-84-616-7092-5

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Abstract

In this paper, we present a new system of automatic character recognition in order to quickly and reliably identify soccer on the basis of their team number for sport’s scene understanding. First, the proposed approach extracts the number on the player’s jersey by using a chromaticity-based segmentation method. Then, the extracted character recognition is performed by template matching. Hence, the innovative combination of these two techniques leads to a more computationally efficient system for the player identification purpose than the state-of-the-art ones as demonstrated on real-world image large datasets.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Joanna Olszewska
Date Deposited: 13 Aug 2013 14:14
Last Modified: 04 Dec 2016 06:11
URI: http://eprints.hud.ac.uk/id/eprint/18122

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