Systematic Study of Robust Face Recognition

Face recognition has become a striking exploration area in the recent years. It finds an extensive range of applications beginning from video games, Facebook to high security scenarios such as border control. Researchers find great interest in cracking the challenges of face recognition such as pose, expression and illumination variations and occlusion. Face recognition is becoming increasingly accurate as the technology evolves. Due to the non-contact and remote sensing capabilities of the face biometric, it is regarded as the only viable biometric trait to be used in surveillance systems for subject identification. Integrating face recognition capability in surveillance systems will significantly improve the security of the monitoring area.Among all other scenarios, the face recognition in surveillance systems is significant for security applications, especially at night time when the subject is far away from the camera. Cross Spectral face recognition is generally required for nighttime surveillance as the registered face images in the gallery are usually visual face images (VIS) of good quality but the probe images are in NearInfra-Red (NIR) modality.