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This paper presents the extension of our previous work on moment invariants with respect to centroid point (obtained from frontal mugs hot images) for thermal-based face identification system. In previous work, seeded region growing method was applied for background filtering. Sequentially, the system decomposes a background filtered thermal image into 4 thermal regions via 3-valued threshold method...
This paper presents the implementation of moment invariants with respect to centroid point (obtained from registered image database) for thermal physiological-based face identification system. Seeded region growing method was applied for background filtering. Sequentially, anisotropic diffusion was employed prior to image decomposition to reduce the effect of noise. The system decomposes a background...
This paper presents the implementation of moment invariants; with respect to centroid point obtained from frontal mugshot images, for thermal-based face identification system. Initially, seeded region growing method is applied for background filtering. Sequentially, the system decomposes a background filtered thermal image into 4 thermal regions via 3-valued threshold method. Region with the lowest...
This paper presents the implementation of moment invariants in an infrared-based face identification system to develop a novel and less complicated face identification system in thermal spectrum. Initially the system decomposes an infrared image into 4 thermal regions via 3-valued threshold method. In order to increase the information obtained from each decomposed IR image, the first four of the classical...
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