Face biometric adores a prime spot amongst various other Biometrics for being most easily accessible. At the present age with ever rising crime rate, Biometric Authentication has earned itself an inseparable berth in the public security system applications which require highly proficient Real Time identity retrieval. But, the efficiency is deterred by erratic and various degrees of Occlusions across the face in Real Time Applications. The degree and position of Occlusions cannot be predefined with precision. Thereby making the task of efficient identity retrieval of heavily occluded facial images an intriguing Challenge. The Proposed Algorithm is an initiative towards extracting the logical relations existing between the different facial features which serve as a key towards the accomplishment of efficient reconstruction under heavily occluded cases.