Car Number Plate Recognition (CNPR) system using Multiple Template Matching

Image processing algorithms are used for converting textual image to editable text. One application could be a car number plate recognition (CNPR) system where these type of algorithms automatically detect the car registration number by capturing an image. In this paper, we improve one of the existing CNPR algorithms. The contributions include: multiple template matching; considering light intensity and recognizing the car number plate even in low intense light and independence of distance of car number plate to camera. The involvement of different conditions and external factors actually improve the CNPR system efficiency. We run different experiments on different car number plates. Our proposed improvements yield better results in terms of false positive and false negative values for CNPR.