PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION
Balinese character are a vital means to know the culture of Bali in depth, because Balinese character serves as a means to write a wide range of religious issues, customs, literature and so forth. Balinese character in use is not always written sequentially like Latin character. In the formation of...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2012
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| Summary: | Balinese character are a vital means to know the culture of Bali in depth,
because Balinese character serves as a means to write a wide range of religious
issues, customs, literature and so forth. Balinese character in use is not always
written sequentially like Latin character. In the formation of a word or phrase in
Balinese character, the characters can be combined at the top, bottom or side of a
core character.
This study aims to develop a prototype application to recognize the characters
on the image of a printed Balinese text and know the level of recognition accuracy
of the characters on the printed Balinese text. The method used for the recognition
is Backpropagation Neural Network (ANN-BP). Implementation of the algorithms
in the development of Balinese character recognition prototype software is able to
recognize characters on printed Balinese text with error on the training images of
3.43% and 10% in testing image. |
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