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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Hayanti, Septi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Diagonal Based Feature Extraction and Backpropagation Neural Network in Handwritten Batak Toba Characters Recognition Zamzami, Elviawaty Muisa; Hayanti, Septi; Nababan, Erna Budhiarti
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 2, May 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i2.1212

Abstract

Handwritten character recognition is considered a complex problem since one’s handwritten character has its characteristics.  Data used for this research was a photo of handwritten or scanned handwritten.  In this research, Backpropagation Neural Network (BPNN) was used to recognize handwritten Batak Toba character, wherein preprocessing stage feature extraction was done using Diagonal Based Feature Extraction (DBFE) to obtain feature value.  Furthermore, the feature value will be used as an input to BPNN. The total number of data used was190 data, where 114 data was used for the training process and another 76 data was used for testing. From the testing process carried out, the accuracy obtained was 87,19 %.
Co-Authors Elviawaty Muisa Zamzami Erna Budhiarti Nababan