Batu Aceh typology identification using back propagation algorithm

  • Authors:
  • Azlinah Mohamed;Faizatul Huda Bt Mat;Sofianita Mutalib;Shuzlina Abdul Rahman;Noor Habibah Arshad

  • Affiliations:
  • Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2008

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Abstract

Historical and cultural artifacts have defined the existence of humankind all over the world. It is therefore important to preserve this heritage for future endeavors. In the Malay-Indonesia Archipelago, the forgotten and extinct artifact is the Islamic gravestone that originated in Aceh known as Batu Aceh. This research is an attempt to preserve our heritage by developing a prototype to guide the future generation to appreciate these precious cultural heritage artifacts. Back propagation algorithm is applied on a supervised classification of Batu Aceh object images. Several images of each type of Batu Aceh are used as training samples. Data samples were converted into binary forms and used to train the network. To ensure the performance of the system, network parameters such as momentum value, learning rate and number of hidden neuron would be adjusted to get the appropriate setting. It is found that the prototype devised can identify the type of Batu Aceh presented and its century. This research would provide experts in this field an alternative to identify damaged or unclear images of Batu Aceh.