Model CNN LeNet dalam Rekognisi Angka Tahun pada Prasasti Peninggalan Kerajaan Majapahit

Tri Septianto; Endang Setyati; Joan Santoso

doi:10.14710/jtsiskom.6.3.2018.106-109

DOI: https://doi.org/10.14710/jtsiskom.6.3.2018.106-109

Model CNN LeNet dalam Rekognisi Angka Tahun pada Prasasti Peninggalan Kerajaan Majapahit

CNN LeNet Model for Year Digit Recognition on Relic Inscriptions of Majapahit Kingdom

Tri Septianto, Endang Setyati, Joan Santoso

Sekolah Tinggi Teknik Surabaya, Indonesia

Received: 4 Jun 2018; Published: 31 Jul 2018.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

The object of the inscription has a feature that is difficult to recognize because it is generally eroded and faded. This study analyzed the performance of CNN using LeNet model to recognize the object of year digit found on the relic inscriptions of Majapahit Kingdom. Object recognition with LeNet model had a maximum accuracy of 85.08% at 10 epoch in 6069 seconds. This LeNet's performance was better than the VGG as the comparison model with a maximum accuracy of 11.39% at 10 epoch in 40223 seconds.

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Keywords: LeNet recognition performance; inscription digit recognition; CNN performance comparison; VGG recognition performance

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Section: Original Research Articles

Language : ID

In Volume 6, Issue 3, Year 2018 (July 2018)

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Model CNN LeNet dalam Rekognisi Angka Tahun pada Prasasti Peninggalan Kerajaan Majapahit

CNN LeNet Model for Year Digit Recognition on Relic Inscriptions of Majapahit Kingdom

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