We present a novel (to our best knowledge) optical recognition technique for detecting shadows from a single image. Most prior approaches definitely depend on explicit physical computational models, but physics-based approaches have the critical problem that they may fail severely even with slight perturbations. Unlike traditional approaches, our method does not rely on any explicit physical models. This breakthrough originates from a discovery of a new modeling mechanism, derived from a biological vision principle, the so-called retinex theory, which is well suited for single-image shadow detection. Experimental results demonstrate that the proposed method outperforms the previous optical recognition techniques and gives robust results even in real-world complex scenes.