SEGMENTATION ALGORITHMS FOR EXTRACTION OF IDENTIFIER CODES IN CONTAINERS

Juan A. Rosell Ortega, Alberto J. Pérez Jiménez, Gabriela Andreu Garćıa

Abstract

In this paper we present a study of four segmentation algorithms with the aim of extracting characters from containers. We compare their performance using images acquired under real conditions and using results of human operators as a model to check their capabilities. We modified the algorithms to adapt them to our needs. Our aim is obtaining a segmentation of the image which contains all, or as much as possible, characters of the container’s code; no matter how many other non relevant objects may appear; as irrelevant objects may be filtered out by applying other techniques afterwards. This work is part of a higher order project whose aim is the automation of the entrance gate of a port.

References

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Paper Citation


in Harvard Style

A. Rosell Ortega J., J. Pérez Jiménez A. and Andreu Garćıa G. (2006). SEGMENTATION ALGORITHMS FOR EXTRACTION OF IDENTIFIER CODES IN CONTAINERS . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 375-380. DOI: 10.5220/0001365303750380


in Bibtex Style

@conference{visapp06,
author={Juan A. Rosell Ortega and Alberto J. Pérez Jiménez and Gabriela Andreu Garćıa},
title={SEGMENTATION ALGORITHMS FOR EXTRACTION OF IDENTIFIER CODES IN CONTAINERS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={375-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001365303750380},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - SEGMENTATION ALGORITHMS FOR EXTRACTION OF IDENTIFIER CODES IN CONTAINERS
SN - 972-8865-40-6
AU - A. Rosell Ortega J.
AU - J. Pérez Jiménez A.
AU - Andreu Garćıa G.
PY - 2006
SP - 375
EP - 380
DO - 10.5220/0001365303750380