Spectral Imaging and Biometric Laboratory

Spectral Imaging and Biometric Laboratory works in the area of facial biometrics, image processing, presentation attack, machine learning, pattern recognition, sensor development, spectral imaging, cognitive biometric and food quality analysis.

Spectral Imaging has been one of the areas of research to extract the complementary information beyond the visible band of the electromagnetic spectrum in discrete and disjoint manner. SpeciBlab involved in developing a custom-built spectral imaging sensor which can leverage the spatial and spectral information in the form of reflectance and or emittance across visible and near infra-red bands.

Primarily, the aim is to develop methodologies, protocols, algorithms and tools for physiological and behavioral biometric modalities, especially solving n-class and two-class problem.

Further, we also focused on explores the spectral signature by leveraging the photometric reflectance properties of spectral imaging for qualitative analysis of food in non-invasive and non-destructive manner.