International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 143

M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 5 Issue 7, July 2016


The Recognition and Detection System for Theft Vehicle by Number Plates

Sham Madhukar Lomte [2] | Hajiali Sayyed


Abstract: Large number of vehicles creates various problems and disturbances in day to day life. Vehicles generate problems of heavy traffic on road and stealing of vehicles at the parking areas. Management of vehicles and transportation are tedious and time consuming task. If it is completely operated by manually that reflects huge errors and difficulties. Therefore, it is necessary to develop automatic recognition and detection of the number plate of vehicles by recognition system. This paper shades light on the said problem. Recognition system will automatically detect the front number plate of vehicles. The detected number plate follows subsequent steps 1. To capture image of number plate 2. To segment and recognize characters.3. Recognised license plate displays on graphical user interface and stored in database with time and date for further use 4. If stolen vehicle is detected alarm will ring and send SMS to the police station. The system can be used for the purpose of security and accuracy. It will be beneficial to reduce the problem such as recognize automatic high speed on highway, traffic violation cases, to collect toll automatically on toll plazas and to make security in parking areas.


Keywords: Automatic vehicle license recognition system, Character segmentation, Character recognition, stolen vehicle, Theft detection


Edition: Volume 5 Issue 7, July 2016,


Pages: 550 - 553


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How to Cite this Article?

Sham Madhukar Lomte, Hajiali Sayyed, "The Recognition and Detection System for Theft Vehicle by Number Plates", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 550-553, https://www.ijsr.net/get_abstract.php?paper_id=2071603

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