Vehicle Detection Based On Image Classification

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@article{1701146,
      author = {R. Pavithra Devi, C. Rabin Philip, K. Vivinya, K. Jagadeesh},
      title = {Vehicle Detection Based On Image Classification},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {10},
      pages = {204-207},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701146.pdf},
      abstract = {Optical character recognition (OCR) is an image processing technology which uses efficient algorithms to detect the vehicle number from real time images. The objective is to design a efficient vehicle recognition system and to implement it in a toll gate system.  In this project, Lab view software is used for training, testing and for code generation. The optical character recognition technique (OCR) is used to convert the printed image into characters. The characters are trained and stored as .abc file and the stored data is converted into block. Finally the software is generated and integrated with hardware.},
      keywords = {OCR (optical character recognition), Lab VIEW, vehicle number recognition, toll gate},
      month = {April},
  }