The Effect of Font Variation in the Accuracy of Image to Text Conversion

Vera Firmansyah, Amalia Rakhmawati

2021

Abstract

Image processing is using both hardware and software as tools to analyze and as an interface to process an image. These tools are able to improve the welfare and the quality of life of people with visual impairments to help them to read articles. The level of impaired vision can vary from person to person. Thus, this research develops initiate step in image to text conversion with font variation. Image to text conversion is done by extracting text from images obtained through the camera from the article. Previous research used microprocessor equipped with a camera module and the Tesseract OCR in the Python Pence. The Tesseract OCR program on Pence is an open source program used to extract text from images and save it in the form of a text. This research using 5 font variation chosen randomly which are Times New Roman, Arial, Calibri, Comic Sans and Courier New. Image Processing using Dilation, Crop, Canny and Median Blur. The result shows that Comic Sans Font has the highest accuracy and Times New Roman has the lowest accuracy. Comic Sans has the highest accuracy because the overall font does not have much curves than the other while Times New Roman Font has the lowest accuracy because it has more curve characteristics.

Paper Citation

in Harvard Style

Firmansyah V. and Rakhmawati A. (2021). The Effect of Font Variation in the Accuracy of Image to Text Conversion. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1431-1434. DOI: 10.5220/0010966800003260

in Bibtex Style

@conference{icast-es21,
author={Vera Firmansyah and Amalia Rakhmawati},
title={The Effect of Font Variation in the Accuracy of Image to Text Conversion},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1431-1434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010966800003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - The Effect of Font Variation in the Accuracy of Image to Text Conversion
SN - 978-989-758-615-6
AU - Firmansyah V.
AU - Rakhmawati A.
PY - 2021
SP - 1431
EP - 1434
DO - 10.5220/0010966800003260