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.

[img] Text (JURNAL MAHASISWA)
Journal_EdraKevinOktaviano_41516010055.pdf
Restricted to Registered users only

Download (1MB)

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.

Item Type: Thesis (S1)
Call Number CD: JM/TI. 20 120
NIM/NIDN Creators: 41516010055
Uncontrolled Keywords: License plate recognition, YOLOv3, Tesseract OCR.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 070 Documentary Media, Educational Media, News Media, Journalism, Publishing/Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.1-070.9 Standard Subdivisions of Documentary Media, Educational Media, News Media, Journalism, Publishing/Subdivisi Standar Dari Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 070 Documentary Media, Educational Media, News Media, Journalism, Publishing/Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.1-070.9 Standard Subdivisions of Documentary Media, Educational Media, News Media, Journalism, Publishing/Subdivisi Standar Dari Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.5 Publishing/Penerbitan > 070.57 Kinds of Publications/Jenis-jenis Publikasi
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 070 Documentary Media, Educational Media, News Media, Journalism, Publishing/Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.1-070.9 Standard Subdivisions of Documentary Media, Educational Media, News Media, Journalism, Publishing/Subdivisi Standar Dari Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.5 Publishing/Penerbitan > 070.57 Kinds of Publications/Jenis-jenis Publikasi > 070.579 Specific Kinds of Publication/Jenis Publikasi Tertentu
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Dede Muksin Lubis
Date Deposited: 24 May 2022 02:36
Last Modified: 23 Sep 2022 06:49
URI: http://repository.mercubuana.ac.id/id/eprint/61616

Actions (login required)

View Item View Item