Analisis Sistem Pengenalan Karakter Plat Kendaraan dari Citra Kendaraan
Abstract: New applications
based on advanced technology was created in order to accelerate and facilitate
human performance in doing things in different fields. One of them in the field
of digital image processing are generally used in the process of pattern
recognition. Various applications can be built using pattern recognition techniques
in digital image processing one of them in the parking system. Goals and
benefits in this final project is to develop license plate recognition system
using Histogram as segmentation function, Principal Component Analysis method
as extraction function and Euclidean Distance methods as the classification of
characters. The results of the simulation performance of the vehicle license
plate character recognition is at 77.90% for the percentage of correctly
identified all 27 characters and at 22.10% to the percentage of false
identified.
KEYWORDS: Image Processing,
Euclidean Distance, character Plate Recognition System, Principal Component Analysis,
Histogram
Penulis: I Dewa Gede Angga
Prastika, Widyadi Setiawan
Kode Jurnal: jptlisetrodd160303
