[2O5-OS-21b] OS-21

[2O5-OS-21b-04] Layout Detection of Registration and Tax Cadaster Documents Using Image Recognition Models

〇Risa Kobayashi¹ (1. The University of Tokyo)

Keywords:Image Recognition, All Real Estate Registration Matters, Cadaster

Understanding the history of land transactions and inheritance is a crucial initial step and an indispensable process in sustainable urban development, municipal urban policies, and infrastructure development. However, the full registry of real estate or land ledgers used before the current registration system, which documents these transaction and inheritance histories, remains non-digitized document media, requiring significant human and economic costs for interpretation. Against this backdrop, this study aims to develop an image recognition model for layout detection of complex table structures found in the full real estate registry and land ledgers. The image recognition model was constructed to enable comparative evaluation between CNN-based models, such as Faster-RCNN, which includes line processing, and YOLO-based models. I have shown that while all of the models have high detection accuracy, the YOLO-based model is superior in terms of learning speed and prediction accuracy.