Sufiatul Maryana, Arie Qur'ania, Agung Prajuhana Putra

Judul	:	Implementation of artificial neural networks in detection of vehicle registration number by region based on digital image processing
Abstrak	:	Abstract. Pattern number plate recognition can be applied to many traffic monitoring application applications one of which is electronic toll payment. Character recognition of the success of the classification process is determined by the successful feature extraction of each character so that the various character form will increase the difficulty level in the process of introduction. Pattern recognition on vehicle number plate consists of several stages, namely detection of plate number location, number plate preprocess, choosing test data and training data, identification using ANN including JST classification model, ANN test and SJT Accuracy. Detection of the number plate location is a major component in plate pattern recognition to find environmental imagery that may have meaning and value on the number plate object. The data were taken as many as 120 consisting of 30 images of Bogor area (F), 30 images of Jakarta area (B), 30 images of Bandung (D) and 30 images of Purwakarta (T). Data from each plate type number is divided into two parts, 20 pieces for training data and 10 pieces for test data. From the experiment based on 40 training data, there were 28 undefined test data or 70% accuracy
Tahun	:	2017	Media Publikasi	:	Seminar Internasional
Kategori	:	Prosiding	No/Vol/Tahun	:	01 / 1 / 2017
ISSN/ISBN	:	978-602-51652-0-7
PTN/S	:	Universitas Pakuan	Program Studi	:	MANAJEMEN INFORMATIKA (D3)
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