Thermal Image Characterization for Human Recognition

The analysis of thermal image characterization with unique feature extraction and similarity measurements for thermal character recognition is required for the feature identification in military applications. The proposed work describes the representation of thermal infrared image data for identifying human, based on thermal color variation. In this paper, we compare the thermal image of different persons and analyze the similarities and differences in their thermal characterization and extracts vasculature information, create a thermal character signature, and identify the individual. Based on the inference obtained by our analysis, it is observed that the thermal characters of every individual vary on the following three conditions, in rest, in exercise, and in room temperature. The combined use of visible and thermal IR imaging sensors offers a viable means for improving the performance of human recognition techniques.