期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：10
出版社：Journal of Theoretical and Applied
摘要：Since the number of vehicles is increasing hugely every year, the process of controlling and tracking those cars forms a significant human challenge. The automatic recognition of those cars can help in solving this problem and save much effort and time. The license plate could involve a lot of content, which make the recognition process is difficult to many researchers around the world. In addition to that, license plate may not have fixed in uniform place on the car, hence the recognition of this plate should recognize it. This research aims to recognize the characters, numbers, and words, that extracted from Iraqi LPS, into a text. This system consists of four main stages: The first phase is License Plate Detection by using the vertical Sobel edge detection and extracts these LP by using morphological operation. The second phase is License Plate Alignment. The third phase is License Plate Segmentation and isolates each character, numbers, and words of the license plate by using scanning techniques. The last phase is License Plate Recognition to display the alphanumeric character and words as the text file by using Prewitt edge detection algorithm. The overall performance of the system reached to 100%.
