An algorithm for license plate recognition LPR applied to the intelligent transportation system is proposed on the basis of a novel shadow removal technique and character recognition algorithms This p

Overall, the proposed algorithm for license plate recognition in intelligent transportation systems is highly effective and robust. It addresses the challenges of illumination variance, view angle, position, size, and color of license plates in complex environments. The algorithm incorporates a novel shadow removal technique and character recognition algorithm using support vector machines (SVM). The algorithm also includes techniques for image tilt correction and gray enhancement. The algorithm was tested with a large dataset of natural-scene vehicle images and achieved high success rates for license plate location and segmentation, as well as character recognition for numerals, Kana, and address information. The overall performance of the system was found to be 93.54%, making it a highly reliable solution for license plate recognition in various complex conditions