Automatic Iraqi Cars Number Plates Extraction

Autor: Safaa S. Omran, Jumana A. Jarallah
Jazyk: arabština
Rok vydání: 2018
Předmět:
Zdroj: Iraqi Journal for Computers and Informatics (2018)
Iraqi Journal for Computers and Informatics, Vol 44, Iss 1, Pp 23-30 (2018)
Popis: License Plate Recognition (LPR) system becomes animportant research issue in recent years due to its importance to wideranges of commercial applications. The first and the most importantstage for any LPR system is the localization of the number platewithin the vehicle image. This paper presents a methodology for Iraqicars number plates extraction from the vehicle image using twomethods, the first one is morphological operations and the secondmethod is edge detection. The main idea is to use these two differentmethods in such away so that the number plate of the vehicle can beextracted precisely. These algorithms can quickly and correctly detectand extract the number plate from the vehicle image although therewas a little noise in the image. This paper also makes a comparisonbetween the two methods of extraction in results. The software thatused to build the systems is MATLAB R2014a
Databáze: OpenAIRE