University Campus Number Plate Logging System
B. Santosh Manoj Kumar1, M.V.K. Prasad2, K. Sripath Roy3

1B.Santosh Manoj Kumar Studying B.Tech, Department of Electronics and Communication Engineering, Stream from Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
2M.V.K. Prasad Studying B.Tech, Department of Electronics and Communication Engineering, Stream from, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
3K.Sripath Roy, Assistant Professor, Department of Electronics and Communication Engineering, and Associate Dean Projects, Koneru Lakshmaiah Education and Foundation, Vaddeswaram ,Guntur (A.P), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1673-1677 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5501058719/19©BEIESP
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Abstract: Automatic number plate Recognition is an image processing with OpenCV technology .The main objective is to design an efficient automatic authorized number plate identification system. This system is implemented on the entrance for security control of the University Campus. The developed system primarily detects the moving vehicle at the entrance and then captures the vehicle number plate image. Vehicle number plate region is extracted using the image and video segmentation in an image. Optical character Recognition technique is used for the character recognition. The resulting data is then used to store on a database so as to come up with the specific information like the vehicles number plate time taken and frequency of the data. This system is implemented and simulated by using the technologies like OpenCV, Tensorflow, mongoDB and its performance is tested on real images and videos. It is observed from the experiment that the developed system successfully detects and recognizes the vehicle number plate on real images and videos.
Keyword: Tesseract-OCR, Image Processing With OpenCV, Tensorflow, MongoDB
Scope of the Article: System Integration.