Efficient optical character recognition system for automatic soccer player’s identification

A. Alsuqayhi, J. I. Olszewska

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the IAPR International Conference on Computer Analysis of Images and Patterns Workshop (CAIP)
Pages139-150
Publication statusPublished - 2013

Fingerprint

Dive into the research topics of 'Efficient optical character recognition system for automatic soccer player’s identification'. Together they form a unique fingerprint.

Cite this