SMART SYSTEM FOR AUTOMATIC CROP AND RECOGNITION PLAT NUMBER
DOI:
https://doi.org/10.34288/jri.v3i2.60Keywords:
Image Processing, Templates Matching, Automatic Parking Systems, Vehicle Number PlatesAbstract
Based on data from the Central Statistics Agency in 2018, it was written that the number of motorbikes for the Indonesian region was 120.10 million or 82% and for cars 26.75 million or around 18% of the total population. With the increasing population of motorized vehicle users, it will result in an increase in problems that occur in traffic violations and also the technology security system in the parking system. Most of the existing parking systems still require parking attendants. In addition, the existing system only discusses the opening and closing of bars and providing information on parking lots. Although the existing system already uses artificial intelligence to read plate numbers, the officers are still matching it. Of course this is not effective and efficient because the use of artificial intelligence is not purely done by the system. To overcome this, the solution given in this study is to create a parking system that can read plate numbers automatically and store vehicle entry data directly into the database. The system created can also open and close the door latch automatically. The template matching image processing technique was chosen to solve this problem. Based on the experimental results, the system can recognize plate numbers with an accuracy of 83%. For further research, it is necessary to introduce vehicle ownership and provide parking information so that the parking system becomes more perfect.
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References
BPS Indonesia. (2018). Statistik Transportasi Darat 2018. Jakarta: Land Transportation Statistics 2018. Retrieved from https://www.bps.go.id/publication/2019/11/27/7fdd3379108b4a60e046f4c8/statistik-transportasi-darat-2018.html
Budianto, A., Adji, T. B., & Hartanto, R. (2015). Deteksi Nomor Kendaraan Dengan Metode Connected Component dan SVM. Jurnal Teknologi Informasi Magister, 1(1), 106–117. Retrieved from https://jurnal.darmajaya.ac.id/index.php/jtim/article/view/489
Gumelar, M. G., Fibriani, I., Setiabudi, D., & Supeno, B. (2016). Analisis Sistem Pengenalan dan Keamanan Kriptografi Hill Cipher pada Plat Nomor Kendaraan Menggunakan Metode Template Matching. Prosiding Seminar Nasional ReTII Ke-11 2016, 13–28. Yogyakarta: ITNY. Retrieved from https://journal.itny.ac.id/index.php/ReTII/article/view/427
Hafidz, H., Ananda, A., & Akbar, M. (2019). Perbaikan Citra RGB dengan Metode Homomorphic Filtering Menggunakan Butterworth Filter | Jurnal Komputer Terapan . Jurnal Komputer Terapan, 1–1. Retrieved from https://jurnal.pcr.ac.id/index.php/jkt/article/view/6
Ibnutama, K., Panjaitan, Z., & Ginting, E. F. (2019). Modifikasi Metode Template Matching pada OCR Untuk Meningkatkan Akurasi Deteksi Plat Nomor Kendaraan. Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD (J-SISKO TECH), 2(2), 21–29. Retrieved from https://ojs.trigunadharma.ac.id/index.php/jsk/article/view/121
Irawati, D. A. (2011). Pengembangan Aplikasi Pengenalan Plat Nomor Kendaraan Roda Dua Pada Area Parkir. Seminar Nasional Sains Dan Teknologi 2015, 1–11. Jakarta: Universitas Muhammadiyah Jakarta. Retrieved from https://jurnal.umj.ac.id/index.php/semnastek/article/view/523
Masdiyasa, I. G. S., Bhirawa, S., & Winardi, S. (2019). Identifikasi Plat Nomor Kendaraan Bermotor Menggunakan Metode Multi-Step Image Processing Berbasis Android. E-NARODROID, 5(1), 17–25. Retrieved from https://jurnal.narotama.ac.id/index.php/narodroid/article/view/862/
Michael, M., Tanoto, F., Wibowo, E., Lutan, F., & Dharma, A. (2019). Pengenalan Plat Kendaraan Bermotor dengan Menggunakan Metode Template Matching dan Deep Belief Network. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 19(1), 27–36. https://doi.org/10.30812/matrik.v19i1.475
Putra, E. D., & Santosa, S. (2017). Optimasi Kemampuan Segmentasi Otsu pada Identifikasi Plat Nomor Kendaraan Indonesia Menggunakan Metode Gaussian. Pseudocode, 4(1), 47–60. https://doi.org/10.33369/pseudocode.4.1.47-60
Rohpandi, D., Sugiharto, A., & Aji Winara, G. (2015). Aplikasi Pengolahan Citra Dalam Pengenalan Pola Huruf Ngalagena Menggunakan MATLAB. Proceedings Konferensi Nasional Sistem Dan Informatika (KNS&I), 9(0), 772–777. BALI: STMIK STIKOM. Retrieved from http://www.ejournal.stikom-bali.ac.id/index.php/knsi/article/view/465
Saputra, B., Winardi, S., Mudjanarko, S. W., & Inayati, I. (2017). IDENTITAS DIGITAL KENDARAAN BERMOTOR DENGAN CHIP WEMOS UNTUK SOLUSI PROGRAM PLAT NOMOR GENAP GANJIL. Seminar Nasional Ilmu Terapan (SNITER), B03-1-B03-8. Surabaya: Universitas Widya Kartika. Retrieved from https://ojs.widyakartika.ac.id/index.php/sniter/article/view/35
Sarief, I., Biu, H. Y., & Chandra, S. I. (2019). Automatic Number Plate Recognition Using Template Matching Method. TELEKONTRAN, 7(1), 14–24. Retrieved from https://ojs.unikom.ac.id/index.php/telekontran/article/view/1634
Wibawa, G. A. (2020). Analisa Kesamaan Aksara Bali Menggunakan Template Matching | JELIKU (Jurnal Elektronik Ilmu Komputer Udayana). Jurnal Elektronik Ilmu Komputer Udayana, 8(4), 507–513. Retrieved from https://ojs.unud.ac.id/index.php/JLK/article/view/59344
Wijayanti, M. (2018). Implementasi Template Matching Correlation Dan K-Nearest Neighbor Untuk Mendeteksi Hukum Bacaan Tajwid Pada Citra Tulisan Al-Qur’an. Simki-Techsain, 2(9), 1–9. Retrieved from http://simki.unpkediri.ac.id/detail/14.1.03.02.0304
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