Abstract

In this paper, a widely developed learning machine algorithm called Extreme Learning Machine (ELM) is used to recognize Indonesia vehicle license plates. The algorithm includes grayscale, binary, erosion, dilation and convolution processes, as well as the process of smearing, location determination and character segmentation before the ELM algorithm is applied. The algorithm includes one crucial and rarely performed technique for extraction of vehicle license plates, namely Smearing Algorithms. In the experimental results, ELM is compared with the template matching method. The obtained outcome of the average accuracy of both methods has the same value of 70.3175%.

Original languageEnglish
Article number02005
JournalE3S Web of Conferences
Volume328
DOIs
Publication statusPublished - 6 Dec 2021
Event2021 International Conference on Science and Technology, ICST 2021 - Ternate, Indonesia
Duration: 27 Oct 202128 Oct 2021

Keywords

  • Certainty Factor
  • Expert System
  • Idiopathic Thrombocytopenic Purpura
  • KNN

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