@article{ART003055374},
author={Heeyeon Jo and Jeongwoo Lee and HONGRAE LEE},
title={Study on OCR Enhancement of Homomorphic Filtering},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={2},
pages={101-108},
doi={10.9708/jksci.2024.29.02.101}
TY - JOUR
AU - Heeyeon Jo
AU - Jeongwoo Lee
AU - HONGRAE LEE
TI - Study on OCR Enhancement of Homomorphic Filtering
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 2
PB - The Korean Society Of Computer And Information
SP - 101
EP - 108
SN - 1598-849X
AB - AI-OCR (Artificial Intelligence Optical Character Recognition) combines OCR technology with Artificial Intelligence to overcome limitations that required human intervention. To enhance the performance of AI-OCR, training on diverse data sets is essential. However, the recognition rate declines when image colors have similar brightness levels. To solve this issue, this study employs Homomorphic filtering as a preprocessing step to clearly differentiate color levels, thereby increasing text recognition rates. While Homomorphic filtering is ideal for text extraction because of its ability to adjust the high and low frequency components of an image separately using a gamma value, it has the downside of requiring manual adjustments to the gamma value. This research proposes a range for gamma threshold values based on tests involving image contrast, brightness, and entropy. Experimental results using the proposed range of gamma values in Homomorphic filtering suggest a high likelihood for effective AI-OCR performance.
KW - AI-OCR;Optical Character Recognition(OCR);Preprocessing;Homomorphic Filtering;Adaptive Threshold Range
DO - 10.9708/jksci.2024.29.02.101
ER -
Heeyeon Jo, Jeongwoo Lee and HONGRAE LEE. (2024). Study on OCR Enhancement of Homomorphic Filtering. Journal of The Korea Society of Computer and Information, 29(2), 101-108.
Heeyeon Jo, Jeongwoo Lee and HONGRAE LEE. 2024, "Study on OCR Enhancement of Homomorphic Filtering", Journal of The Korea Society of Computer and Information, vol.29, no.2 pp.101-108. Available from: doi:10.9708/jksci.2024.29.02.101
Heeyeon Jo, Jeongwoo Lee, HONGRAE LEE "Study on OCR Enhancement of Homomorphic Filtering" Journal of The Korea Society of Computer and Information 29.2 pp.101-108 (2024) : 101.
Heeyeon Jo, Jeongwoo Lee, HONGRAE LEE. Study on OCR Enhancement of Homomorphic Filtering. 2024; 29(2), 101-108. Available from: doi:10.9708/jksci.2024.29.02.101
Heeyeon Jo, Jeongwoo Lee and HONGRAE LEE. "Study on OCR Enhancement of Homomorphic Filtering" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 101-108.doi: 10.9708/jksci.2024.29.02.101
Heeyeon Jo; Jeongwoo Lee; HONGRAE LEE. Study on OCR Enhancement of Homomorphic Filtering. Journal of The Korea Society of Computer and Information, 29(2), 101-108. doi: 10.9708/jksci.2024.29.02.101
Heeyeon Jo; Jeongwoo Lee; HONGRAE LEE. Study on OCR Enhancement of Homomorphic Filtering. Journal of The Korea Society of Computer and Information. 2024; 29(2) 101-108. doi: 10.9708/jksci.2024.29.02.101
Heeyeon Jo, Jeongwoo Lee, HONGRAE LEE. Study on OCR Enhancement of Homomorphic Filtering. 2024; 29(2), 101-108. Available from: doi:10.9708/jksci.2024.29.02.101
Heeyeon Jo, Jeongwoo Lee and HONGRAE LEE. "Study on OCR Enhancement of Homomorphic Filtering" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 101-108.doi: 10.9708/jksci.2024.29.02.101
