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  <title>Form Recognition dan Character Mapping Menggunakan Image Segmentation dan Optical Character Recognition</title>
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  <namePart>Wibisono Christian</namePart>
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   <placeTerm type="text">Bandung</placeTerm>
   <publisher>Maranatha University Press</publisher>
   <dateIssued>2021</dateIssued>
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  <languageTerm type="code">e</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <form authority="gmd">Artikel Jurnal</form>
  <extent>hlm : 154-164</extent>
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  <title>JUTISI : Jurnal Teknik Informatika dan Sistem Informasi</title>
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<note>&#13;
Abstract&#13;
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.&#13;
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<note type="statement of responsibility"></note>
<subject authority="">
 <topic>Informatika</topic>
</subject>
<subject authority="">
 <topic>Sistem Informasi</topic>
</subject>
<classification>JUTISI</classification>
<identifier type="isbn">24432210</identifier>
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 <physicalLocation>Perpustakaan Teknik UPI YAI </physicalLocation>
 <shelfLocator>JUTISI V7N1 April 2021</shelfLocator>
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   <numerationAndChronology type="1">JUTISI4-013</numerationAndChronology>
   <sublocation>Perpustakaan FT UPI YAI</sublocation>
   <shelfLocator>JUTISI V7N1 April 2021</shelfLocator>
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