Automatic Traffic E-challan Generation Using Computer Vision

  • Manisha R. Dhage
  • Gaurav V. PatilEmail author
  • Shrayank J. Mistry
  • Prathamesh N. Tambe
  • Parag H. Nankar
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 39)


The Automatic recognition of license plate is the basis of effective management in traffic, the automatic detection and localization of license plate is an important part. License plate detection and contain how to extract or segment the license plate region from the license plate image a new deep learning network structure was designed, and designed network structure was used to detect and locate the license plate automatically. The system proposed by us involves automatic detection of vehicles that break the traffic rules at respective signals and registration number for every vehicle is recognized. The vehicle number detected is searched in the database for type of vehicle and owner’s information. This information is used to generate e-challan in the name of the person who owes the vehicle directly and instantly and send appropriate fine message to the owner. So it will be more efficient and will require less human intervention.


E-challan Otsu Contour Tesseract 


Compliance of Ethical Standards

All author state that there is no conflict of interest. We used our own data. No animals and humans are not involved in this work.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Manisha R. Dhage
    • 1
  • Gaurav V. Patil
    • 1
    Email author
  • Shrayank J. Mistry
    • 1
  • Prathamesh N. Tambe
    • 1
  • Parag H. Nankar
    • 1
  1. 1.Department of Computer EngineeringSinhgad College of EngineeringPuneIndia

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