Vehicle Number Plate Recognition using Micro Processor
Preetaj Yadav1, Laxmi Singh2, Nandlal Shah3
1Dr. Preetaj Yadav, Department of Computer Science & Engineering, Rabindranath Tagore University, Bhopal.
2Dr. Laxmi Singh, Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal.
3Nandlal Shah, Department of Electrical & Electronics Engineering, Rabindranath Tagore University, Bhopal.
Manuscript received on September 15, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3682-3684 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26421081219/2019©BEIESP | DOI: 10.35940/ijitee.L2642.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An automatic license number plate recognition system that uses image processing technology for identifying the written characters and numbers on the vehicle’ license plate. The system can be used in highly secured areas to provide more safety, and can be used in parking, traffic, and other places to monitor all vehicle’s number plate in a predefined area. The character is recognized by the OCR technology that is optical character recognition system. It generates the vehicle’s license plate number in a text format. The recognized number from the license plate then can be used to retrieve more information about the vehicle and the owner.
Keywords: ANPR, Raspberry pi, Camera, OCR, License Plate
Scope of the Article: Pattern Recognition