Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Vol. 3 No. 1 (2019)

Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean

Vincentius Abdi Gunawan (Palangka Raya University)
Ignatia Imelda Fitriani (Palangka Raya University)
Leonardus Sandy Ade Putra (STMIK PALANGKARAYA)

Article Info

Publish Date
24 May 2019

Abstract

Driving is one of the human activities in which daily life is often done. Driving can be done by land, air, and sea. Human mobility in driving is very high on land routes using various means of transportation. For the sake of smooth driving, roads are often equipped with traffic signs in each traffic area. Traffic signs are a means for road users to provide information and guidance for motorists about the situation in the surrounding area. The number of motorists who lack awareness of the knowledge of reading traffic signs is one of the biggest causes of accidents in Indonesia. So that a system is needed that can help in recognizing traffic signs, especially prohibited signs. The system designed using Haar Wavelet feature extraction and Euclidean distance as a classification. From the data that has been tested, the level of recognition in reading traffic signs is prohibited by 92%.

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Journal Info
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Website

Abbrev

eltikom

Publisher

Politeknik Negeri Banjarmasin

Subject

Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

We are the Editor of Jurnal ELTIKOM, invites Mr. / Ms Lecturer, researcher and practitioner to be able to publish your paper on topics covering Electrical Engineering, Electronics Engineering, Telecommunications Engineering, Computer Engineering, Information ...