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Tia Shafera
Politeknik Negeri Sriwijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

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Implementasi Optical Character Recognition (OCR) Pada Masa Pandemi Covid-19 Ali Firdaus; M. Syamsu Kurnia; Tia Shafera; Wahyu Istalama Firdaus
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/3912.jupiter.2021.10

Abstract

Abstract Many documents must be processed and scanned digitally, especially during this pandemic, physical documents often have to be reprocessed using word processing applications. This process takes a lot of time especially if the document is damaged, lost and does not have a copy. This can be overcome by using the Optical Character Recognition (OCR) algorithm. OCR converts letter images into computer-recognized ASCII characters. Image files are relatively larger than their ASCII text files. From the existing problems, the researchers tried to find a solution by creating an OCR application program to simplify the process. The created OCR program is successfully used to scan or scan a physical document if the document is lost or damaged, and can save time on document creation, processing and typing. Keywords: Algorithm, Optical Character Recognition, ASCII
Co-Authors Ali Firdaus M. Syamsu Kurnia Wahyu Istalama Firdaus