Infrared Thermal Hand Vein Pattern Recognition

An approach to biometric human authentication using thermal images of dorsa vein patterns is presented in this paper. In our work, an infrared (IR) camera is adopted as the input device to acquire the thermal images of the human dorsa. In this proposed approach, two thermal images are obtained; one in low resolution and the other in high resolution. Specific region of interest (ROI) on the thermal images are obtained with the support of an algorithm in MATLAB designed by the authors. Once the ROI is defined, feature points of the dorsal vein patterns (FPDVPs) are extracted based on the Fourier’s law on heat conduction. Thus multi-resolution representations of images with FPDVPs are obtained through the implementation of multiple multiresolution filters (MRFs), which expose the dominant points by extracting miscellaneous features for each FPDVP.