Data is the most significant and essential entity to every organization. Companies invest millions of dollars in order to protect and manage the access to their data. The privacy and confidentiality of any data could be easily determined from the fact that the sensitivity of organizational data is because of its profit figures, business revenues etc. If it’s being misused then an organizations have to bear a heavy loss. So to protect our data and storage we take the precautionary measures to the next level. We validate and restrict the access to the database according to the roles assigned to the human beings for records accessing rights, on the basis of their facial features by using Eigenface algorithm Face recognition is a pattern recognition task performed specifically face either "known" or "unknown", after comparing it with stored known people. It is also desirable to have a system that has the ability of learning to recognize unknown faces. So when administrator inhibit details of employee then it will save in our database and the program will be asked to capture the image of the employee it takes 100 images per person and trained them and then store in training set after validation of image only then employee can further do work according to the roles assigned by administrator . In this way our database is secured using facial recognition.

Database security PCA face recognition