• KAJAL KOLEKAR
• RESHMA NIRMAL
• VAISHNAVI DHAKARE
• PROF.R.D.KOMATI

This is Automatic Number Plate Recognition is used to detect the number plate automatically. In this project for number plate recognition, the most popular image processing technique is used. This number plate recognition is used for security purpose in many applications. With the process of some tasks on the image by the following algorithm as detection, segmentation, pre-processing, features extractions and recognition for detection of the number plate is used. In features extraction HOG (Histogram Oriented Of Gradient) method is used. For number plate detection the different classifier of machine learning such as KNN, SVM, etc is used. From this classifier KNN classifier of machine learning which gives an accuracy of 93% is used. This detection technique can recognition many different fonts, character, and number but the problem occurs for detection number plate when the number plate is covered with dirt on the plate, etc.

HOG, Image processing, KNN, Machine learning, Number plate recognition

"Number Plate Recongition For Society Security Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.21-25, May-2019, Available :http://www.jetir.org/papers/JETIR1905N04.pdf

"Number Plate Recongition For Society Security Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp21-25, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N04.pdf