Implementation of Template Matching Methods for Traffic Signs Recognition

Nophia, Melda (2020) Implementation of Template Matching Methods for Traffic Signs Recognition. Other thesis, Universitas Katolik Soegijapranata Semarang.

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Abstract

In daily life, we often find traffic signs that we did not know before. When we do not know what the sign is, we will look for it one by one on Google and it is very time consuming. Not only that, we frequently find some signs in poor condition. Therefore, the problem to be solved are how to detect signs that contain noise and detect various kinds of signs in Indonesia. With the huge number of traffic signs in Indonesia, we need a method that can process without seeing the large number of templates that need to be processed. therefore, we utilize the template matching method provided by OpenCV which is integrated with the reading process of many templates. The final results of this project prove that the template matching provided by OpenCV can work enough to detect traffic signs. With several factors that influence, the success rate of the detection process is quite high. Examples of factors that affect detection is the clarity of the image.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: ms F. Dewi Retnowati
Date Deposited: 28 May 2021 02:41
Last Modified: 28 May 2021 02:41
URI: http://repository.unika.ac.id/id/eprint/25280

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