Implementasi Optical Character Recognition (OCR)  Pada Masa Pandemi Covid-19

Athiyah Luthfi Firdaus; M. Syamsu  Kurnia; Tia  Shafera; Wahyu Istalama Firdaus

doi:10.5281/3912.jupiter.2021.10

Authors

Athiyah Luthfi Firdaus Politeknik Negeri Sriwijaya
M. Syamsu Kurnia Politeknik Negeri Sriwijaya
Tia Shafera Politeknik Negeri Sriwijaya
Wahyu Istalama Firdaus Faculty of Islamic Studies, International University of Aprica - Sudan Nort Aprica

DOI:

https://doi.org/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