Researchers propose Korean OCR model for invoice data extraction
Researchers introduced an OCR model designed to extract key details from Korean-language invoices. The model combines deep learning with image preprocessing to improve accuracy. It achieved an F1-score of 87% on a dataset of collected invoices, with minimal processing time.
Key points
- Model combines deep learning with image preprocessing for Korean invoice OCR
- Achieves 87% F1-score on a dataset of collected invoices
- Targets invoices from South Korea, North Korea, Vietnam, and the Philippines
Korean is spoken by about 80 million people, and the model targets invoices from South Korea, North Korea, Vietnam, and the Philippines, where Korean companies operate. The paper, posted on arXiv, highlights the need for automated invoice parsing to streamline data storage and retrieval for commercial purposes.
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