Research of Classification Algorithms for Recognition of Digits in Mechanical Counters

Dirk Benyoucef, Pirmin Held, Philipp Klein

Abstract

Mechanical counters are still very popular for their protection against manipulation and low costs. In the past automatic readout of mechanical counters required complex and expensive image processing methods. The system proposed in this paper is a cheaper alternative which does not require modifications to the mechanics of the counter. The proposed system makes use of different light reflectivity parameters of the numbers shown on the number wheels. In this paper the different approaches are shown and analyzed.

References

  1. Benyoucef, D., Held, P., and Bier, T. (2012). Icounter - development of an optical readout method for mechanical counters. International Conference on Pattern Recognition Applications and Methods (ICPRAM).
  2. Cortes, C. and Vapnik, V. (1995). Support-vector networks. Machine Learning.
  3. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm. Blackwell Publishing.
  4. Martinez-Carballido, J., Alfonso-Lopez, R., and RamirezCortes, J. (2011). License plate digit recognition using 7x5 binary templates at an outdoor parking lot entrance. In Electrical Communications and Computers (CONIELECOMP), 2011 21st International Conference. IEEE.
  5. Otsu, N. (1979). A threshold selection method from graylevel histograms. IEEE Transactions on systems, man and cybernetic.
  6. Qian, J., Qian, D., and Zhang, M. (2006). A digit recognition system for paper currency identification based on virtual instruments. In ICIA 06. IEEE.
  7. Shu, D., Ma, S., and Jing, C. (2007). Study of the automatic reading of watt meter based in image processing technology. In Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference. IEEE.
  8. Zhang, Z., Chen, G., Li, J., Ma, Y., and Ju, N. (2010). The research on digit recognition algorithm for automatic meter reading system. In Intelligent Control and Automation (WCICA), 2010 8th World Congress. IEEE.
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Paper Citation


in Harvard Style

Benyoucef D., Held P. and Klein P. (2013). Research of Classification Algorithms for Recognition of Digits in Mechanical Counters . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 522-525. DOI: 10.5220/0004204305220525


in Bibtex Style

@conference{icpram13,
author={Dirk Benyoucef and Pirmin Held and Philipp Klein},
title={Research of Classification Algorithms for Recognition of Digits in Mechanical Counters},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={522-525},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004204305220525},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Research of Classification Algorithms for Recognition of Digits in Mechanical Counters
SN - 978-989-8565-41-9
AU - Benyoucef D.
AU - Held P.
AU - Klein P.
PY - 2013
SP - 522
EP - 525
DO - 10.5220/0004204305220525