IoT Driven Vehicle License Plate Extraction Approach

  • Authors

    • S Sheeba Rani Gnanamalar
    • R Maheswari
    • B Sharmila
    • V Gomathy
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12134
  • Vehicle Number Plate Identification, Optical Character Recognition, Arduino UNO, Image Processing.

  • Abstract

    The objective of the research paper is to capture the design a Vehicle Number Plate Identification System which can be used to identify and read the license number of any vehicle. The basic process involves taking the image of the front/rear of the vehicle which then gets processed and ultimately the number gets displayed on the LCD. This system can be used for a wide variety of installations and establishments such as entry points of schools, colleges, offices and parking spaces. The camera takes an image which is then processed in PC. The result achieved from this is the license number of the vehicle which is then transmitted via the Wi-Fi module and ultimately displayed on the LCD. The hardware especially can be made more rugged and compact so as to handle all the elements of nature and various environments that it can be used in.

     

     

  • References

    1. [1] Faisal Mohammad et al, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2014, PP - 2088-2090.

      [2] SarabjitKaur .SukhvirKaur, “ An Efficient Method of Number Plate Extraction from Indian Vehicles Image, in International Journal of Computer Applications, Volume No-88,2014.

      [3] Swain, M., and Ballard, D. Color indexing. International Journal of Computer Vision (1991).

      [4] Coetzee, Charl, Charl Botha, and David Weber. "PC based number plate recognition system." Industrial Electronics, 1998.Proceedings.ISIE'98.IEEE International Symposium on.Vol.2.IEEE, 1998.

      [5] Schiele, B., and Crowley, J. L. Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision 36 (2000), PP - 31–50.

      [6] Schneiderman, H., and Kanade, T. A statistical method for 3d object detection applied to faces and cars. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1 (2000), 1746.

      [7] Agarwal, S., Awan, A., and Roth, D. Learning to detect objects in images via a sparse, part-based representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 11 (2004), PP - 1475 – 1490.

      [8] Sonavane, Ms Sonali, et al. "Localization & Segmentation of Indian Car Number Plate system: A Projection based Multistage Approach.". IJARCSSE (2013), PP - 179-183.

      [9] http://www.dw.de/india-has-the-highest-number-of-road-accidents-in-the-world/a-5519345-1.

      [10] Iwanowski, Marcin. "Automatic car number plate detection using morphological image processing." PrzegladElektrotechniczny 81.3 (2005), PP - 58-61.

      [11] Rathore, Manisha, and SarojKumari. "Tracking Number Plate from Vehicle using Matlab.",International Journal in Foundations of Computer Science & Technology (IJFCST), Vol.4, No.3, 2014, PP - 43-53.

      [12] T. Padmapriya and V. Saminadan, “Inter-cell Load Balancing Technique for Multi- class Traffic in MIMO - LTE - A Networksâ€, International Conference on Advanced Computer Science and Information Technology , Singapore, vol.3, no.8, July 2015.

      [13] S.V. Manikanthan , T. Padmapriya “An enhanced distributed evolved node-b architecture in 5G tele-communications network†International Journal of Engineering & Technology (UAE), Vol 7 Issues No (2.8) (2018) 248-254.March2018.

      [14] S.V.Manikanthan and K.Baskaran “Low Cost VLSI Design Implementation of Sorting Network for ACSFD in Wireless Sensor Networkâ€, CiiT International Journal of Programmable Device Circuits and Systems,Print: ISSN 0974 – 973X & Online: ISSN 0974 – 9624, Issue : November 2011, PDCS112011008.

  • Downloads

  • How to Cite

    Sheeba Rani Gnanamalar, S., Maheswari, R., Sharmila, B., & Gomathy, V. (2018). IoT Driven Vehicle License Plate Extraction Approach. International Journal of Engineering & Technology, 7(2.24), 457-459. https://doi.org/10.14419/ijet.v7i2.24.12134

    Received date: 2018-04-25

    Accepted date: 2018-04-25

    Published date: 2018-04-25