Structuring of Pulmonary Function Test Paper Using Deep Learning

• Published in: 韓國컴퓨터情報學會論文誌 Vol. 26; no. 12; pp. 61 - 67
• Main Authors: Jo, Sang-Hyun, Kim, Dae-Hoon, Kim, Yoon, Kwon, Sung-Ok, Kim, Woo-Jin, Lee, Sang-Ah
• Format: Journal Article
• Language: Korean
• Published: 2021

In this paper, we propose a method of extracting and recognizing related information for research from images of the unstructured pulmonary function test papers using character detection and recognition techniques. Also, we develop a post-processing method to reduce the character recognition error r...