Multi sensor, multi algorithm based face recognition & performance evaluation

Biometric is emerging area in the computer science for the secure various systems. Day to day life peoples are preferred to use, robust and highly acceptable security system which can surpass the human errors. Many scientists are engaged to develop a strong biometric system, but there are a lot of challenges in the real time application. It is observed and found that researchers are only working on too old laboratory databases such as Olivetti Research Laboratory (ORL). But now a day's various cost effective data acquisition sensors are coming on the market with high resolution of the data. When we are using a different type of data capturing devices gives the difference in performance of recognition rate. In this work we have proved that recognition rate is affected by the various sensors as well as database environment. For robust face recognition system suitable algorithms are suggested to different type of sensors.