LICENSE PLATE NUMBER DETECTION AND RECOGNITION USING SIMPLIFIED LINEARMODEL
Unknown authors
Abstract
License Plate Recognition (LPR) is one of the technologies commonly applied in Intelligent Transport System (ITS) nowadays. This technology enables the software system to recognize the license plate number by itself from a digital image. The input image is then converted to a meaningful ASCII text which contains the license plate number. This paper discusses the series of method to recognize the license plate number. The methods include grayscale which turns the colorful image into grayscale, binarization which further converts the grayscale image into the black and white version, license plate detection which is to search for location of the license plate, character segmentation which separate the extracted characters individually and character recognition to transform the pixel into meaningful information. The system has demonstrated more than 90% success rate. In addition, the performance issue has addressed by omitting some pre-processing such as contrast enhancement, noise filtering, and histogram equalization.