2026-04-29T02:25:59Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/872 2021-12-13T01:56:35Z 1582963739756:1582967238313 user-um

License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions Ohnmar Khin Phothisonothai, Montri Choomchuay, Somsak It has been studied that there is no established LPR(License Plate Recognition) to detect and identify the license plates from dissimilar angles. The aim of the paper is to detect the dissimilar angles of the license plate with the non-fixed LPR system. Therefore, the horizontal and vertical dilation, skew angle detection and automatic bounding box have been proposed to detect the license plate. The proposed method has been applied to the four different types of Myanmar license plates, e.g., private cars, taxi, tour buses and religion cars. One car each is taken into four different types of angles on the dissimilar conditions. Experimental result indicated that this method can detect the disparate types of license plates with a high accuracy, i.e., the proposed approach achieved a favorable outcome rate of 97% at 100 license plates. 2017 http://hdl.handle.net/20.500.12678/0000000872 https://meral.edu.mm/records/872