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Author: search.filters.author.Khin, OhnmarSubject: search.filters.subject.bounding box

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    License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions
    (2018-08-21)
    Khin, Ohnmar
    ;
    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.
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    Myanmar character extraction from vehicle images using aspect ratio and bounding box
    (2018-05-30)
    Khin, Ohnmar
    ;
    Phothisonothai, Montri
    ;
    Choomchuay, Somsak
    In this paper, we publicize Myanmar character extraction system using the license plate number as experimental sample. In recent times, the identification of car license becomes a popular task because of the increase in the number of vehicles. To settle this problem, there are a number of techniques in which aspect ratio and bounding box are the suitable technology. We also use edge boxes in order to separate the background from the foreground and accentuate in the foreground. In the investigation, the Myanmar character are segmented firstly and then these are extracted precisely. The experimental results showed that the characters have been correctly extracted by the accuracy rate of 90%.