Manuscript Number : CSEIT2063126

License Plate Recognition

Authors(4) :-B. Likith Ram, P. Naga Sai Teja, Y. Sai Avinash Kumar, Ch. Sai Raj

License Plate Recognition (LPR) system is an application of computer vision and image processing technology that takes video of vehicles and take the vehicle frame as input image and by extracting their number plate from whole vehicle image, it displays the number plate information into text. The overall accuracy and efficiency of whole LPR system depends on number plate extraction phase as character segmentation and character recognition phases are also depend on the output of this phase. Higher be the quality of captured input vehicle image more will be the chances of proper extraction of vehicle number plate area. The approach used to segment the image is bilateral filtering algorithm and canny edge detection algorithm. Then we predict the license plate from processed image using py–tesseract OCR and match the retrieved text which is vehicle number plate with database. Finally we get the details of the particular vehicle from the database.

Authors and Affiliations

B. Likith Ram
Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
P. Naga Sai Teja
Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
Y. Sai Avinash Kumar
Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
Ch. Sai Raj
Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India

Bilateral Filtering, Canny Edge Detection Algorithm, Tesseract OCR

  1. You-Shyang Chen and Ching-Hsue Cheng, "A Delphi-based rough sets fusion model for extracting payment rules of vehicle license tax in the government sector," Expert Systems with Applications, vol. 37, no. 3, pp. 2161-2174, 2010.
  2. Anton Satria Prabuwono and Ariff Idris, "A Study of Car Park Control System Using Optical Character Recognition ," in International Conference on Computer and Electrical Engineering, 2008, pp. 866-870.
  3. A Albiol, L Sanchis, and J.M Mossi, "Detection of Parked Vehicles Using Spatiotemporal Maps," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1277-1291, 2011.
  4. Christos Nikolaos E. Anagnostopoulos, Ioannis E. Anagnostopoulos, Ioannis D. Psoroulas, Vassili Loumos, and Eleftherios Kayafas, License Plate Recognition From Still Images and Video Sequences: A Survey, vol. 9, no. 3, pp. 377-391, 2008.
  5. Christos Nikolaos E. Anagnostopoulos, Ioannis E. Anagnostopoulos, Vassili Loumos, and Eleftherios Kayafas, "A License Plate-Recognition Algorithm for Intelligent Transportation System Applications," pp. 377-392, 2006.
  6. H. Erdinc Kocer and K. Kursat Cevik, "Artificial neural netwokrs based vehicle license plate recognition," Procedia Computer Science, vol. 3, pp. 1033-1037, 2011.
  7. A Roy and D.P Ghoshal, "Number Plate Recognition for use in different countries using an improved segmenation," in 2nd National Conference on Emerging Trends and Applications in Computer Science(NCETACS), 2011, pp. 1-5.
  8. Kaushik Deb, Ibrahim Kahn, Anik Saha, and Kang-Hyun Jo, "An Efficeint Method of Vehicle License Plate Recognition Based on Sliding Concentric Windows and Artificial Neural Network," Procedia Technology, vol. 4, pp. 812-819, 2012.
  9. Lucjan Janowski et al., "Quality assessment for a visual and automatic license plate recognition," Multimedia Tools and Applications Springer US, pp. 1-18, 2012.

Publication Details

Published in : Volume 6 | Issue 3 | May-June 2020
Date of Publication : 2020-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 500-504
Manuscript Number : CSEIT2063126
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

B. Likith Ram, P. Naga Sai Teja, Y. Sai Avinash Kumar, Ch. Sai Raj, "License Plate Recognition", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.500-504, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2063126
Journal URL : https://res.ijsrcseit.com/CSEIT2063126 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

Article Preview