A Comparative Study Lampung Script Characters Recogniton Based Edge Detection Method Of Roberts and Sobel
Abstract
The culture of Lampung script is now rarely used and will get extinct. In order to preserve the culture, this digital research about Lampung script with image processing method and pattern recognition is conducted. This research is divided into two stages, training and testing. Training stage conducted image processing and training the artificial neural network (ANN) backpropagation. One past of image processing is edge detection. The edge detection method is used to analyze the Lampung script character to find the line pattern of the letters. The image processing methods used in image edge detection are Roberts edge detection method and Sobel edge detection method. The result of image processing will get into testing stage. Sobel method has better performance on recognizing. Lampung script character, in which the result from testing Lampung script character gives 28.5 % of error for Roberts detection method and 14.5 % of error for Sobel detection method.
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References
Dung Do, Viet; & Woo, Dong-Min. (2015). Handwritten Character Recognition Using Feedforward Artificial Neural Network. 7th Internationa lConference on Latest Trends in Engineering & Technology (ICLTET), 2, 142-
144.
Hara, Eliza. “Sistem Pengenalan Tulisan Tangan Aksara Lampung dengan
Metode Deteksi Tepi (Canny) Berbasis Jaringan Syaraf Tiruan
Backpropagation”. Skripsi. FT, Teknik Elektro, Universitas Lampung, Bandar Lampung.
Hery Purnomo, Mauridhi; Muntasa, Arif. 2010. Konsep Pengolahan Citradan Ekstraksi Fitur. Yogyakarta: Graha Ilmu.
Kadir, A., & Susanto, A. (2013). Teori dan Aplikasi Pengolahan Citra. Yogyakarta: Andi.
Karlik, Bekik; & Olagac, A Vehbi. (2010). Performance Analysis of Various Functions in Generalized MLP Architectures of Neural Networks. International Journal of Artificial Intelligence and Expert Systems (IJAE), 1, 111-122.
Noeh, M., & Harisfadilah. (1979). Kamus Umum Bahasa Lampung Indonesia. Bandar Lampung: Universitas Lampung.
Prasetyo, Eko. (2014). DATA MINING-Mengolah Data Menjadi Informasi
Menggunakan MATLAB. Yogyakarta: Andi.
Sutoyo, T. e. (2009). Teori Pengolahan Citra Digital. Yogyakarta: Andi.
Sutoyo, T., Mulyanto, E., & Suhartono, V. (2011). Kecerdasan Buatan. Yogyakarta: Andi.
Setiawan, Hendri. “Rancang Bangun Aplikasi Pengenalan Tulisan Tangan Aksara Lampung dengan Masukan Layar Sentuh Menggunakan Jaringan Syaraf Tiruan Backpropagation”. Skripsi. FT, Teknik Elektro, Universitas
Lampung, Bandar Lampung.
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