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Form Recognition dan Character Mapping Menggunakan Image Segmentation dan Optical Character Recognition
Abstract
Industry 4.0 revolve the way of thinking in manufacturing factory business. Speed and accuracy become the main focus to survive and To growth. This study aims to build a blue print of an system that will increase both speed and accuracy in form input. This research will use several computer vision technologies like CNN that will used to do form classification and image segmentation, there is also OCR that will take specific information from a document that have been classified with CNN and then transform it into a JSON format which have more generic format and can be used in most common platform.
Ketersediaan
JUTISI4-013 | JUTISI V7N1 April 2021 | Perpustakaan FT UPI YAI | Tersedia |
Informasi Detil
Judul Seri |
JUTISI : Jurnal Teknik Informatika dan Sistem Informasi
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No. Panggil |
JUTISI V7N1 April 2021
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Penerbit | Maranatha University Press : Bandung., 2021 |
Deskripsi Fisik |
hlm : 154-164
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Bahasa |
English
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ISBN/ISSN |
2443-2210
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Klasifikasi |
JUTISI
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Tipe Isi |
-
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Tipe Media |
-
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Tipe Pembawa |
-
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Edisi |
Volume 7 Nomor 1 April 2021
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Subyek | |
Info Detil Spesifik |
-
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Pernyataan Tanggungjawab |
-
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Versi lain/terkait
Tidak tersedia versi lain