BIMO PRASETYO, . (2020) KLASIFIKASI DAN IDENTIFIKASI PLAT NOMOR GANJIL-GENAP DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
With the large number of vehicles in Indonesia, especially in big cities, the government restricts vehicles to even odd-numbered license plates, so a special camera is needed to detect license plates, based on the purpose of this study in order to find out how the system works. By using several processes viz, the process of cropping, resizing, greyscale, noise removal and binarization after the data is processed or the data collected has been carried out at a later stage. By using Artificial Neural Networks to train and recognize the characters in the OCR Trainer programmed using matlab so that the accuracy of character recognition is up to 96.875%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [1310511097] [Pembimbing 1 : Jayanta] [Pembimbing 2 : Catur Nugrahaeni] [Penguji 1 : Henki Bayu Seta] [Penguji 2 : Iin Ernawati] |
| Uncontrolled Keywords: | Plat nomor, Pengenalan karakter, Ganjil genap, OCR, JST, matlab. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Bimo Prasetyo Santoso |
| Date Deposited: | 12 Jan 2022 05:06 |
| Last Modified: | 12 Jan 2022 05:06 |
| URI: | http://repository.upnvj.ac.id/id/eprint/7184 |
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