• Sonali Dutta
• Megha Raj
• Vishal Goswami
• Shailendra Kumar Singh

Video surveillance system is used for security purpose as well as monitoring systems. Automated systems have been designed for numerous detection tasks. The detection of vehicles by their number plates is the most interesting and challenging research topic from past few years. It is observed that the number plates of vehicles are in different shape and size and also have different color in various countries. This paper presents an approach based on simple but efficient morphological operation and Sobel edge detection method. This approach is simplified to segment all the letters and numbers used in the number plate by using bounding box method. After segmentation of numbers and characters present on number plate, a different approach is used to recognition of numbers and characters. The concentration is given to locate the number plate region properly and to segment all the number and letters to identify each number separately and then to convert all the segmented images into text and display the result and store it in database.

Automatic Number Plate Recognition (ANPR), MATLAB, Character segmentation, Thresholding, Edge Detection, Character Recognition.

"VEHICLE NUMBER PLATE IDENTIFICATION USING MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.183-190, April-2019, Available :http://www.jetir.org/papers/JETIR1904O28.pdf

"VEHICLE NUMBER PLATE IDENTIFICATION USING MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp183-190, April-2019, Available at : http://www.jetir.org/papers/JETIR1904O28.pdf