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Building a Character Recognition System for Vehicle Applications

  • Shivani BansalEmail author
  • Meenu GuptaEmail author
  • Amit Kumar TyagiEmail author
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

Today number plate for vehicles is very important for their verification of its owner Id, address, vehicle identification and or for security purposes. Number plates are of different shapes, colors and sizes in different countries. In India, number Plates are of white background with black foreground color. By number plate we can identify the number by using image processing technique. By using image processing an image of the vehicle is captured to identify the number. We can also check the location and detect the non-permit holders of the stolen vehicles. The OCR, i.e., Optical Character Recognition (OCR) technique is used to read the characters from the image captured of the vehicle. Character Recognition is the one of the form of the OCR. In which we can read the characters from the vehicle number plate and use this for the identification of the owner of the vehicle with its detail like name of the owner, Place (state and district), the date of registration of the vehicle and its registration number and vehicle type, i.e., Either it is four wheeler or two wheeler. We have proposed this methodology to detect or check the detail of the vehicle. The vehicle number plate is also used for the Electric tolls to collect charge of pay-per-use of highways and note down the journey time measurement and ticket collection. The camera which is used for this process is infrared camera which capture the image at all conditions of the weathers either it is day or night.

Keywords

Licensed number plate system Template matching Optical Character Recognition techniques and its applications 

References

  1. 1.
    Broumandnia A, Fathy M (2005) Application of pattern recognition for Farsi license plate recognition. ICGST Int J Graphics, Vis Image Process 5:25–31Google Scholar
  2. 2.
    Puranic A, Deepak KT (2016) Vehicle number plate recognition system: a literature review and implementation using template matching. Int J Comput Appl 134(1):12–16 ISSN: 0975-8887Google Scholar
  3. 3.
    Rahman CA, Radmanesh A (2003) A real time vehicle’s license plate recognition system. In: Null, p 163 Google Scholar
  4. 4.
    Anagnostopoulos C-NE (2014) License plate recognition: a brief tutorial. Intell Transp Syst Mag (IEEE) 6(1):59–67CrossRefGoogle Scholar
  5. 5.
    Madhu Babu D et al (2015) Vehicle tracking using number plate recognition system. Int J Comput Sci Inf Technol (IJCSIT) 6(2):1473–1476Google Scholar
  6. 6.
    Bhardwaj D, Mahajan S (2015) Review paper on automated number plate recognition techniques. Int J Emerg Res Manage Technol 4(5):319–324. ISSN: 2278-9359Google Scholar
  7. 7.
    Saghaei H (2016) Automatic license and number plate recognition system for vehicle identification. In: 2016 1st international conference on new research achievements in electrical and computer engineeringGoogle Scholar
  8. 8.
    Kaur K, Banga VK, Number plate recognition using optical character recognition (OCR)Google Scholar
  9. 9.
    Qadri MT, Asif M (2009) Automatic number plate recognition system for vehicle identification using optical character recognition. In: 2009 international conference on education technology and computer, ICETC’09, pp 335–338Google Scholar
  10. 10.
    Sulaiman N (2013) Development of automatic vehicle plate detection system. In: IEEE international conference on system engineering and technology (ICSET), pp 130–135Google Scholar
  11. 11.
    Shaikh S, Lahiri B (2013) A novel approach for automatic number plate recognition. In: IEEE international conference on intelligent systems and signal processing (ISSP), pp 275–380Google Scholar
  12. 12.
    Kaur S, Kaur S (2014) An efficient approach for automatic number plate recognition system under image processing. Int J Adv Res Comput Sci 5(6):43–50Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringLingaya’s VidyapeethFaridabadIndia

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