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Automated Pipeline for Chemical Composition Data Extraction in Quality Verification Documents of Nuclear Power Plants

Year: 2025

Type: article

Source: The Journal of Korean Institute of Information Technology

DOI: 10.14801/jkiit.2025.23.10.55

Authors: Sang-Hoon Lee, Seong-Bin Mun, Young-Jin Oh, Sang-Won Park, Hae-Yeoun Lee

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning

Award: G382732439

OpenAlex ID: W4415978557

FWCI:

Cites: 17

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