Implementation Of Tesseract Optical Character Recognition (OCR) Method In Land Transportation Surveillance Case

Authors

  • Farida Hanum Universitas Almuslim
  • Imam Universitas Almuslim
  • Munar Universitas Almuslim

Keywords:

Vehicles, License Plates and Tesseract OCR

Abstract

Vehicles are a means of transportation that can be used to facilitate the activity of moving from one place to another. Each vehicle has its own characteristics, namely the vehicle license plate. The vehicle license plate is the identity of a motorized vehicle that has a unique serial number in the form of numbers and letters. The license plate contains the area code, police number and related area. To be able to identify the vehicle license plate number so that it is easily recognized, the author uses the Tesseract Optical Character Recognition (OCR) method. The Tesseract Optical Character Recognition (OCR) method is a method that can convert images into text form which aims to make it easier to identify the text contained in the image. In this study, the testing process was carried out in 2 ways, namely image upload and real-time video capture. The test results using the image method produced a very good text reading success rate from images of 98%, while testing using the real-time video capture method produced a text reading success rate from images of 54.9%

Downloads

Download data is not yet available.

References

[1] I. Muslem and D. Armiady, “A PSO-Based CVRPPD Model with Weather and Traffic Constraints for Two-Wheeled Urban Delivery in Indonesia,” Instal: Jurnal Komputer, vol. 17, pp. 281–290, 2025, doi: 10.54209/jurnalinstall.v17i05.388.

[2] P. P. Andini, “Perlindungan Hukum Konsumen Penyandang Disabilitas Dalam Angkutan Umum Bus Antar Kota,” Riau Law Journal, vol. 6, no. 1, 2022, doi: 10.30652/rlj.v6i1.7934.

[3] K. Al Muharrir, N. Shafwan, and T. Adi Saputra, “STRATEGI PENINGKATAN MUTU DALAM PENGGUNAAN TRANSPORTASI DARAT,” Jurnal Salome : Multidisipliner Keilmuan, vol. 47, no. 1, 2023.

[4] Y. Galahartlambang, T. Khotiah, Zahruddin Fanani, and Afifatul Aprilia Yani Solekhah, “DETEKSI PLAT NOMOR KENDARAAN OTOMATIS DENGAN CONVOLUTIONAL NEURAL NETWORK DAN OCR PADA TEMPAT PARKIR ITB AHMAD DAHLAN LAMONGAN,” Jurnal Manajemen Informatika dan Sistem Informasi, vol. 6, no. 2, 2023, doi: 10.36595/misi.v6i2.754.

[5] I. Muslem R, M. K. M. Nasution, S. Sutarman, and S. Suherman, “A scalable model for Capacitated Vehicle Routing Problem with Pickup and Delivery under dynamic constraints using adaptive heuristic-based ant colony optimization,” Eastern-European Journal of Enterprise Technologies, vol. 1, no. 3 (133), pp. 57–65, Feb. 2025, doi: 10.15587/1729-4061.2025.319733.

[6] O. B. Kharisma, “SISTEM IDENTIFIKASI PLAT NOMOR KENDARAAN DALAM PENERAPAN REGULASI PAJAK BERBASIS CITRA DIGITAL,” JST (Jurnal Sains dan Teknologi), vol. 10, no. 1, 2021, doi: 10.23887/jstundiksha.v10i1.32975.

[7] I. Muslem, “Prototype Kunci RFID (Radio Frequency Identification) dalam Meningkatkan Keamanan Kendaraan Bermotor,” JURNAL TIKA, vol. 5, no. 3, 2021, doi: 10.51179/tika.v5i3.104.

[8] Jakondar Bakara, “Perkembangan Sistem Satelit Navigasi Global Dan Aplikasinya,” Peneliti Bidang Pengkajian Kedirgantaraan Nasional, LAPAN, vol. 12, no. 2, 2013.

[9] S. Chakraborty, S. B. Mandal, and S. H. Shaikh, “Quantum image processing: challenges and future research issues,” International Journal of Information Technology (Singapore), vol. 14, no. 1, 2022, doi: 10.1007/s41870-018-0227-8.

[10] D. Prasetyaningsih, “Partisipasi Indonesia Dalam Pembahasan Sistem Satelit Navigasi Global ( Global Navigation Satellite System ) Dalam Sidang Uncopuos,” Berita Dirgantara, vol. 13, no. 4, 2013.

[11] J. Wu, H. Xu, and J. Zhao, “Automatic Lane Identification Using the Roadside LiDAR Sensors,” IEEE Intelligent Transportation Systems Magazine, vol. 12, no. 1, 2020, doi: 10.1109/MITS.2018.2876559.

[12] R. Smith, “An overview of the tesseract OCR engine,” in Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 2007. doi: 10.1109/ICDAR.2007.4376991.

[13] C. C. Paglinawan, M. Hannah M. Caliolio, and J. B. Frias, “Medicine Classification Using YOLOv4 and Tesseract OCR,” in 2023 15th International Conference on Computer and Automation Engineering, ICCAE 2023, 2023. doi: 10.1109/ICCAE56788.2023.10111387.

[14] C. Adjetey and K. S. Adu-Manu, “Content-based Image Retrieval using Tesseract OCR Engine and Levenshtein Algorithm,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 7, 2021, doi: 10.14569/IJACSA.2021.0120776.

[15] E. Tirtana, K. Gunadi, and I. Sugiarto, “Penerapan Metode YOLO dan Tesseract-OCR untuk Pendataan Plat Nomor Kendaraan Bermotor Umum di Indonesia Menggunakan Raspberry Pi,” Jurnal Infra, vol. 9, no. 2, 2021.

[16] K. Thammarak, P. Kongkla, Y. Sirisathitkul, and S. Intakosum, “Comparative analysis of Tesseract and Google Cloud Vision for Thai vehicle registration certificate,” International Journal of Electrical and Computer Engineering, vol. 12, no. 2, 2022, doi: 10.11591/ijece.v12i2.pp1849-1858.

[17] B. Wang, Y. W. Ma, and H. T. Hu, “Hybrid model for Chinese character recognition based on Tesseract-OCR,” International Journal of Internet Protocol Technology, vol. 13, no. 2, 2020, doi: 10.1504/IJIPT.2020.106316.

[18] Prof. S. M L, Dr. A. P J, and S. D N, “Document Image Analysis Using Imagemagick and Tesseract-ocr,” IARJSET, vol. 3, no. 5, 2016, doi: 10.17148/iarjset.2016.3523.

[19] A. Husna, M. Muthmainnah, and S. Safwandi, “SISTEM PENERJEMAHAN KITAB PELAJARAN IBADAH KEDALAM BAHASA INDONESIA MENGGUNAKAN METODE CITY BLOCK DISTANCE SISTEM PENERJEMAHAN KITAB PELAJARAN IBADAH KEDALAM BAHASA INDONESIA MENGGUNAKAN METODE CITY BLOCK DISTANCE,” TECHSI - Jurnal Teknik Informatika, vol. 11, no. 1, 2019, doi: 10.29103/techsi.v11i1.1283.

[20] M. P. Alfian, J. Raharjo, and N. Ibrahim, “Perancangan Sistem Pendeteksi Kepadatan Lalu Lintas Menggunakan Metode Haar Cascade Classifier,” e-Proceeding of Engineering, vol. 8, no. 6, 2022.

[21] Alan Jiju, Shaun Tuscano, and Chetana Badgujar, “OCR Text Extraction,” International Journal of Engineering and Management Research, vol. 11, no. 2, 2021, doi: 10.31033/ijemr.11.2.11.

Downloads

Published

2025-12-27

How to Cite

Hanum, F., Imam, & Munar. (2025). Implementation Of Tesseract Optical Character Recognition (OCR) Method In Land Transportation Surveillance Case. Aceh Journal of Computer Science , 2(3). Retrieved from https://jurnal.fikompublisher.com/ilka/article/view/15

Issue

Vol. 2 No. 3 (2025): Jurnal Ilmu Komputer Aceh

Section

Artikel

License

Copyright (c) 2025 Aceh Journal of Computer Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This journal is an open access journal that provides direct, barrier-free national access to the full text of all published articles without any cost to readers or their institutions. Readers are entitled to read, download, copy, distribute, print, search, or link to the full text of all articles in the ILKA Journal. This journal provides open access to its content on the principle that making research freely available to the public supports greater global knowledge exchange.