Automatic Number Plate Recognition System using Raspberry Pi
Naveena Budda1, K. Meenakshi2, Padmavathi Kora3, K. Swaraja4, G.V.Subba Reddy5
1Naveena Budda*, M Tech Student, Dept of ECE, GRIET, Hyderabad, India .
2K Meenakshi, Dept of ECE, GRIET, Hyderabad, India.
3Padmavathi Kora, Dept of ECE, GRIET, Hyderabad, India.
4K Swaraja, Dept of ECE, GRIET, Hyderabad, India.
5G V Subba Reddy, Dept of ECE, GRIET, Hyderabad, India.
Manuscript received on November 16, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 1863-1865 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7919129219/2019©BEIESP | DOI: 10.35940/ijitee.B7919.129219
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Abstract: Automatic Number Plate Recognition System is an embedded system that acknowledges the vehicle number plate automatically. Automatic Number Plate Recognition is a technology for computer vision to find the number plates of vehicles from the images. There are many applications like parking, access control, security system, etc. In this paper, we propose a technique of implementing Automatic Number Plate Recognition System using Python and Open Computer Vision Library. The different stages that are involved in the implementation are conversion into gray scale, conversion into binary image, detects the edges of the image, to find the contours and finally displays the number plate of a vehicle.
Keywords: Automatic Number Plate Recognition, Computer Vision, Gray Scale Image, Binary Image, Contours
Scope of the Article: Pattern Recognition