@article {10.3844/ajassp.2024.41.56,
article_type = {journal},
title = {Textual Figure Processing Method: A Systematic Literature Review},
author = {Yanto, Wydyanto and Nayan, Norshita Mat and Sulaiman, Riza},
volume = {21},
year = {2024},
month = {Oct},
pages = {41-56},
doi = {10.3844/ajassp.2024.41.56},
url = {https://thescipub.com/abstract/ajassp.2024.41.56},
abstract = {A human transaction always involves figured documents that have high practical value and could be screened using Optical Character Recognition (OCR). Optical character recognition is a knowledge to process different types of documents and figures to become data that could be analyzed, stored in files, edited and written for different uses. Lately, researchers used a lot of methods to analyze figures that contain text to be written into a media. This manuscript summarizes the figure processing method using OCR technology between 2014 and 2020 that involves text detection, extraction and segmentation for research guidance that applies collection, synthesis and analysis of research articles on the figure processing method. The source data is taken from electronic data using search protocols via keywords and forward and backward reference searches. This manuscript presents the output and the latest technique on the figure processing method via OCR for the research gap.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}