Abstract
Abstract Advances in AI and VR have enhanced digital virtual interaction, crucial for preserving wood carving art. This study introduces an optimized system using intelligent image recognition, overcoming challenges in current systems. It involves image collection, noise reduction, feature extraction, normalization, and transfer learning-based model training. The system achieved a 93.34% recognition accuracy, surpassing traditional methods and improving overall performance.
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