VEHICLE NUMBER PLATE DETECTION USING YOU ONLY LOOK ONCE V3 AND TESSERACT ALGORITHM

Authors

  • Muhamad Rizky Fauzan Universitas Widyatama
  • Ari Purno Wahyu Wibowo Universitas Widyatama

DOI:

https://doi.org/10.33197/jitter.vol8.iss1.2021.718

Keywords:

Artificial Intelligence, Object Detection, You Only Look Once V3, Tesseract Optical Character Recognition, OpenCV

Abstract

The development of technology is currently growing very rapidly. One technology that is currently being developed on a large scale is Artificial Intelligence. Artificial Intelligence or AI has various functions and purposes depending on the system created. One of them is to detect objects and text from images or videos. An example of the application of this technology is the detection of objects and text on vehicle number plates. In this study, a system design was carried out using the You Only Look Once V3 algorithm as an object detection algorithm and Tesseract Optical Character Recognition as a text in image detector. This design is assisted by the OpenCV library in the python programming language and uses an image dataset that is already available. This study aims to determine the level of accuracy of the You Only Look Once V3 algorithm combined with Tesseract Optical Character Recognition.

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Published

2021-12-15

How to Cite

[1]
M. R. Fauzan and A. P. W. Wibowo, “VEHICLE NUMBER PLATE DETECTION USING YOU ONLY LOOK ONCE V3 AND TESSERACT ALGORITHM”, JITTER, vol. 8, no. 1, pp. 57–62, Dec. 2021.

Issue

Vol. 8 No. 1 (2021)

Section

Articles

License

Copyright (c) 2021 Muhamad Rizky Fauzan, Ari Purno Wahyu Wibowo

Creative Commons License

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

Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply the article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-SA 4.0.