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Developing an OCR model for Extracting Information from Invoices with Korean Language
OCRdeep learningKorean languageinformation extraction
2609.35796
Builder Relevance
1h ago80%
Abstract
The paper proposes an efficient Optical Character Recognition (OCR) model for automatically extracting information from invoices written in Korean.
Reality Card
Core Claim
An OCR model achieves an 87% F1-score for extracting information from Korean invoices with negligible processing time.
Method / Result
87% F1-score
Limitations
The paper does not specify the dataset size or diversity, which may affect reproducibility.
Paper to code
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