PENGENALAN TULISAN HIRAGANA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

HARAHAP, IRFAN WIJAYA and Fachrurrozi, Muhammad (2021) PENGENALAN TULISAN HIRAGANA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

In the last few decades the Convolutional Neural Network has had outstanding results in various fields related to pattern recognition, one of which is the recognition of Hiragana's writing. For foreigners, hiragana characters are difficult to understand because they have similar characteristics. This study aims to develop software that can recognize hiragana writing using the Convolutioanal Neural Network method. The most optimal architecture for recognizing hiragana writing has a filter size of 3x3 and a learning rate of 0.005. From these results it can be concluded that the Convolutional Neural Network can be used to recognize Hiragana's writing.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengenalan Tulisan, Convolutional Neural Network
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.A48 Image processing. T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.B35 Image processing--Digital techniques. Pattern recognition systems
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Irfan Wijaya Harahap
Date Deposited:	14 Oct 2021 04:59
Last Modified:	14 Oct 2021 04:59
URI:	http://repository.unsri.ac.id/id/eprint/55865

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