Design of Robust Visual Pattern Recognition through Complementary Feature Fusion and Supervised Learning
Objective: This study proposes a hybrid framework for visual pattern recognition that combines computer vision-based feature extraction with supervised machine learning. The framework is designed to improve classification performance by integrating complementary image characteristics into a unified feature representati...