Majalah Ilmiah Pengkajian Industri
Vol. 14 No. 2 (2020): Majalah Ilmiah Pengkajian Industri

CHARACTER RECOGNITION FOR INDONESIAN LICENSE PLATE BY USING IMAGE ENHANCEMENT AND CONVOLUTIONAL NEURAL NETWORK

Bismantoko, Sahid (Unknown)
Rosyidi, M. (Unknown)
Chasanah, Umi (Unknown)
Suksmono, Adityo (Unknown)
Widodo, Tri (Unknown)

Article Info

Publish Date
31 Aug 2020

Abstract

Many Intelligent Transport System technology have been applied in real world problems such as traffic monitoring, parking management, toll collection, law enforcement. ALPR system is one of the ITS technologies that is widely applied, however this ALPR system can not produce faultless recognition yet, especially for Indonesia license plate. In this research, image enhancement and Convolution Neural Network are proposed to the character recognition. The dataset used in this research are Indonesia license plate. The first step is train dataset to recognize character and evaluate the model with recall, precision, and f-1 score from test dataset. The model achieves accuracy and loss just over 0.99 and just below 0.01 on validation dataset respectively.Key Words : ALPR; ITS; Recall; Precision; F-1 Score; Accuracy; Loss.

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Journal Info
Majalah Ilmiah Pengkajian Industri
Website

Abbrev

MIPI

Publisher

Badan Pengkajian dan Penerapan Teknologi

Subject

Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Engineering Industrial & Manufacturing Engineering Transportation

Description

MIPI, Majalah ilmiah Pengkajian Industri adalah wadah informasi bidang pengkajian Industri berupa hasil penelitian, studi kepustakaan maupun tulisan ilmiah terkait dalam bidang industri teknologi proses rekayasa manufaktur, industri teknologi transportasi dan kelautan, serta industri teknologi ...