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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Perfecting a Video Game with Game Metrics Jurnal Ilmiah Kursor Jurnal Pekommas Prosiding SNATIKA Vol 01 (2011) REKAYASA Network Engineering Research Operation [NERO] JSiI (Jurnal Sistem Informasi) Multitek Indonesia : Jurnal Ilmiah Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Pancaran Pendidikan
Aeri Rachmad
Fakultas Teknik – Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Physics Social Sciences

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Journal : Perfecting a Video Game with Game Metrics

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Indonesian license plate recognition based on area feature extraction Fitri Damayanti; Sri Herawati; Imamah Imamah; Fifin Ayu M; Aeri Rachmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9017

Abstract

The main principle of license plate recognition is to recognize the characters in the license plate which indicates the identity of the vehicle. This research will provide a system which can be implemented to the automatic payment in highway. Indonesian license plate consists of two parts, every of which has certain characters. These characters may become problem in the recognition process. Another problem is on the type of the license plate since Indonesia applies different color for every type of vehicle. In this research, different approaches are employed in the recognition of license plate; that is using character area as the feature value, also known as feature area, and K-Nearest Neighbor (KNN) as classification method. In addition, another method that has been used in our previous research is also employed to detect the character of license plate. The result shows very significant accuracy of 99.44%. In the process of recognition, scenario 1 gives the best accuracy at the K-1 value; that is 68.57% on the license plate and 92.72% on the characters of license plate. In the scenario 2 was obtained the license plate accuracy of 52% and license plate character accuracy of 89.36% with K-5. The system ran in a relatively short computational time.
Co-Authors Devie Rosa Anamis Devie Rosa Anamisa Devie Rosa Anamisa Eka Mala Sari R Faikul Umam Fifin Ayu M Fitri Damayanti Holisatul Munawaroh Husni - Ifan Pratama Imamah Imamah Imamah Imamah Khozaimi, Ach. Neni R Pramudita, Yoga Dwitya R, Neni Resty Wulanningrum Rochman, Eka Mala Sari Sari R, Eka Mala Sri Herawati