CD Skripsi

Aplikasi Pengenalan Plat Nomor Kendaraan Di Universitas Riau

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ABSTRACT

Vehicle license plate recognition application has been found in shopping centers, university, and other agency buildings with various methods of recognition. Some examples of methods used such as digital image processing techniques, neural networks and so forth. This study makes an application for the introduction of license plates, especially for student vehicle license plates in the university area. This application is developed with Digital Image Processing Methods and Artificial Neural Networks. In this study, 700 training data are used, taken from 200 photo vehicle number plates, to train 36 characters that contain 26 alphabets and 10 decimal numbers. The training data is used to test 30 photos of vehicle license plates. Plate photos used as training and testing data are the Indonesian standard with black and white plates. Artificial Neural Network used to recognize vehicle license plate by using the Backpropagation method with parameters Epoch 1000, Hidden layer 1 with node 10, Hidden layer 2 with node 5, Goal 0.0001. The final conclusion of this Study shows that the use of Artificial Neural Network Backpropagation method is very good, with the best testing accuracy obtained, namely 95% and 4,8% error.

Keywords: Digital Image Processing, Artificial Neura Networks, Backpropagation, Vehicle License Plate

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 119 (0091)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2019

Deskripsi Fisik

xiv, 71 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 119 (0091)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

INFORMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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