Thermal infrared face recognition based on lattice computing (LC) techniques

This work introduces a novel methodology for human face recognition based on lattice computing kNN classification techniques applied on thermal infrared images. Novel feature extraction and knowledge-representation engage populations of orthogonal moments represented by intervals´ numbers, or INs for short. Preliminary experimental results compare well with the results by alternative classifiers as well as with alternative feature extraction techniques from the literature. We point out the far-reaching potential of the proposed techniques to big data applications.