Paper Title
Biometric Skeletonized Signature Authentication Using Thermal Images

The proposed system is fully integrated the critical steps of feature extraction through the use of morphological operators and matching through unique similarity measures designed for this task. The novel approach at developing a thermal signature template using four images taken at various instants of time ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal features. The matching using the similarity measures showed an average accuracy of 88.46% for skeletonized signatures.