SMALL TRICKS TO ENHANCE THE ACCURACY OF LICENSE PLATE CHARACTER RECOGNITION

Balázs Enyedi, Lajos Konyha, Kálmán Fazekas, Ján Turán

2007

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.

References

  1. Oz, C., Ercal, F., Cabestany, J., Prieto, A., Sandoval, D.F., 2005. A Practical License Plate Recognition System for Real-Time Environments, (Eds.): IWANN 2005, LNCS 3512
  2. Vázquez, N., Nakano, M., Pérez-Meana, H., 2003. Automatic System For Localization And Recognition Of Vehicle Plate Numbers, Journal of Applied Research and Technology vol1. No.1.
  3. Brugge, M.H., 2005. Morphological Design of DiscreteTime Cellular Neural Networks: Chapter 7 Application of the Theory in Car License Plate Recognition, PhD dissertation
  4. Khan, N.A., 2000. A Shape Analysis Model with Application to Character and Word Recognition, PhD dissertation, Technische Universiteit Eindhoven
  5. Duan, T.D., Hong Du, T.L., Phuoc, T.V., Hoang, V.N.,2005. Building an Automatic Vehicle LicensePlate Recognition System, Intl. Conf. in Computer Science - RIVF'05
  6. Shapiro, V., Gluhchev, G., 2004. Multinational License Plate Recognition System: Segmentation and Classification, Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04)
  7. Martín, F., Borges, D., 2003. Automatic Car Plate recognition Using a Partial Segmentation Algorithm, Signal Processing, Pattern Recognition, and Applications, SPPRA 2003
  8. C.M.Lee, J., 1999. Automatic Character Recognition for Moving and Stationary Vehicles and Containers in Real-life Images, Proc. International Joint Conference on Neural Networks (IJCNN 7899)
  9. Barroso, P., Amaral, J., Mora, A., Fonseca, J.M., SteigerGarção, A., 2004. A Quadtree Based Vehicles Recognition System, 4th International Conference on Optics, Photonics, Lasers and Imaging (ICOPLI 2004)
  10. Draghici, S., 1997. A neural network based artificial vision system for licence plate recognition, International Journal of Neural Systems, 1997, Vol.8 Num.1
  11. Shi, X., Zhao, W., Shen, Y., 2005. Automatic License Plate Recognition System Based on Color Image Processing, ICCSA 2005, LNCS 3483
  12. Siah, Y.K., Haur, T.Y., Khalid, M., Ahmed, T., 1999. Vehicle Licence Plate Recognition by Fuzzy Artmap Neural Network, World Engineering Congress, Sheraton Subang, Malaysia
  13. Acosta, B.D., 2004. Experiments In Image Segmentation For Automatic Us License Plate Recognition, degree of MSC, 2004, Blacksburg, Virginia
  14. Turner, S.M., Eisele, W.L., Benz, R.J., Holdener, D.J., 1998. Travel Time Data Collection Handbook: Chapter 4 - License Plate Matching Techniques, Texas Transportation Institute, Texas A&M University, Report FHWA-PL-98-035
  15. Martín, F., García, M., Alba, J.L., 2002. New Methods For Automatic Reading of VLP's (Vehicle License Plates), SPPRA-2002 (Signal Processing Pattern Recognition and Applications)
  16. Chang, S-L., Chen, L-S., Chung, Y-C., Chen, S-W., 2004. Automatic License Plate Recognition, IEEE Transactions on Intelligent Transportation Systems, Vol.5, No.1
  17. Wu, H-C., Tsal, C-S., Lai, C-H., 2004. A License Plate Recognition System In E-Government, Information & Security, An International Journal, Vol.15, No.2
  18. Horng, W-B., Lee, C-L., Fan, C-H., 2000. A Study and Implementation on Automatic Intelligent Vehicle License Plate Recognition Systems, 2nd Taiwan's International Conference & Exhibition on Intelligent Transport Systems
  19. Lee, B.R., Park, K., Kang, H., Kim, H., Kim, C., Klette, R., Žunic, J., 2004. Adaptive Local Binarization Method for Recognition of Vehicle License Plates, IWCIA 2004, LNCS 3322
  20. Dlagnekov, L., Belongie, S., Recognizing Cars, UCSD CSE Tech Report CS2005-0833., 2005
  21. Ketelaars, N., 2001. Final project: Automated license plate recognition, Enero 2001.
  22. Xu, Z., Xiang, W., Sun, P., Yu, J., Song, J., 2005. Flowing Traffic System, Final Report - CSIDC 2005
Download


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