Drawing image understanding system with capability of rule learning
Shin’ichi Satoh, H. Mo, Masao Sakauchi · 2002
A drawing understanding system using state transition models is described. This system performs flexible understanding following bottom-up and top down rules, which are easily derived. However, the system is sensitive to minor changes in drawings and has difficulty determining threshold values. A rule learning facility for overcoming these problems was added and evaluated. The system can generate rules from interactions with users using a machine learning method. It was confirmed that this system can generate proper rules for practical drawing understanding from plain interactions.>