• Shyam Joshi
• Chandra Prakash Saini
• Robinson Paul

In today’s modern world, with the increase in number of vehicle, the need to recognize the license plate automatically has also increased for the motive of parking, entry control, security, automatic tolling system for highway, border control, law implementation etc. Generally, Vehicle Number Plate Recognition (VNPR) system consists majorly of three parts: identifying the plate region, segmenting the characters and recognition of the characters. In this paper, we have used pre-captured images of different Indian cars with variations in intensity, color and background. The system executes various operations on the pre-captured image such as improving the image to thin out the unwanted signals (noise), morphological operations, edge detection and recognizing the region of interest. Features of characters are extracted which will help in differentiating them from undesired signal. These features are then used for segmenting each character for recognition using template matching.

Number plate recognition; MATLAB; Template matching; Character recognition

"INDIAN VEHICLE NUMBER PLATE RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.178-184, June 2019, Available :http://www.jetir.org/papers/JETIR1906N76.pdf

"INDIAN VEHICLE NUMBER PLATE RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp178-184, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N76.pdf