INDONESIAN LICENSE PLATE RECOGNITION USING YOLOV3 AND OPTICAL CHARACTER RECOGNITION

OKTAVIANO, EDRA KEVIN (2020) INDONESIAN LICENSE PLATE RECOGNITION USING YOLOV3 AND OPTICAL CHARACTER RECOGNITION. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Intelligent Transportation System (ITS) is implementation of advanced technology towards transportation system to encounter various transportation problems. Several technologies identified as ITS including Automatic License Plate Recognition (ALPR), Advanced Traffic Signal Control Systems (ATSCS), Electronic Toll Collecting System (ETCS), Bus Information Management System (BIMS). Until now, ITS becomes main focus of Indonesian government to encounter digital transformation. Thus, Author tries to give contribution on transformation of transportation system to digital through this paper. Author uses YOLOv3 convolutional network to detect license plate followed by Otsu’s thresholding and Tesseract OCR to recognize characters. From 1000 license plate image as dataset, implemented method has resulting mAP 88.87 percent and character recognition 80,2 percent. Keywords: License plate recognition, YOLOv3, Tesseract OCR.

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