The document presents a thermal imaging framework for facial signature authentication that utilizes specialized algorithms to extract vasculature information and create thermal facial signatures. Testing on thirteen subjects demonstrated a matching accuracy of 88.46% for skeletonized signatures and 90.39% for anisotropically diffused signatures. The framework integrates feature extraction, registration, and matching, showing potential applications in other thermal imaging systems.