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What is Implementation of Yolov12 and Paddleocr For Indonesian Bank Statement Table Extraction about?

This research presents a two-stage pipeline utilizing YOLOv12 for table detection and PaddleOCR for text extraction from Indonesian bank statements, addressing the challenges of traditional OCR systems. The proposed method achieved high precision and recall rates, demonstrating its effectiveness in accurately reconstructing tabular data for financial document processing. Future work may focus on expanding datasets and improving adaptability to diverse bank statement formats.

Author

beww

Language

EN