SMALL TRICKS TO ENHANCE THE ACCURACY OF LICENSE PLATE CHARACTER RECOGNITION

Balázs Enyedi, Lajos Konyha, Kálmán Fazekas, Ján Turán

Abstract

License plate recognition solutions to date are numerous and quite diverse. It is a complex problem field that can clearly be separated into two areas: localizing the actual license plate number and recognizing individual characters. Current professional literature devotes relatively small attention to individual steps of character recognition, which is exacerbated by the fact that the vast majority of solutions result in severe data losses due to inconsiderate discarding of information that could significantly enhance the accuracy of the end result that is, improve recognition reliability. Certain letters and numbers are very easy to mistake for one another, and some solutions focus too heavily on attempting to differentiate between them, complicating the recognition algorithm and possibly unnecessarily increasing its computation requirements. Instead, retaining certain information can result in much faster and more accurate recognition algorithms. This paper describes tricks to enhance accuracy and presents the points of potential significant data losses during the recognition process. The solutions described here are applicable along with any recognition algorithm, enhancing its accuracy and reliability.

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Paper Citation


in Harvard Style

Enyedi B., Konyha L., Fazekas K. and Turán J. (2007). SMALL TRICKS TO ENHANCE THE ACCURACY OF LICENSE PLATE CHARACTER RECOGNITION . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 125-128. DOI: 10.5220/0002131801250128


in Bibtex Style

@conference{sigmap07,
author={Balázs Enyedi and Lajos Konyha and Kálmán Fazekas and Ján Turán},
title={SMALL TRICKS TO ENHANCE THE ACCURACY OF LICENSE PLATE CHARACTER RECOGNITION},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={125-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002131801250128},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - SMALL TRICKS TO ENHANCE THE ACCURACY OF LICENSE PLATE CHARACTER RECOGNITION
SN - 978-989-8111-13-5
AU - Enyedi B.
AU - Konyha L.
AU - Fazekas K.
AU - Turán J.
PY - 2007
SP - 125
EP - 128
DO - 10.5220/0002131801250128