Holistic matching in face recognition refers to an approach that analyzes the entire face as a single, integrated unit rather than focusing on individual features like eyes or mouth. This method captures the overall structure and spatial relationships of facial features, allowing for more accurate recognition under varying conditions. By considering the holistic representation, systems can better account for differences in lighting, expression, and orientation, enhancing the robustness of the recognition process.
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