Biometric Video Surveillance

Biometric surveillance refers to technologies that measure and analyze human physical and/or behavioral characteristics for authentication, identification, or screening purposes. Facial recognition is the use of the unique configuration of a person\u27s facial features to accurately identify them (Frank, 2007).There are many factors that will lead to unsuccessful or successful implementation of the Facial recognition technology. This research project addresses the gaps between potential uses of facial recognition technology and actual implementation results. In this project we have identified the Potential road blocks for implementing the Facial Recognition on biometric surveillance. In this project using the Pittpatt Recognition Software we have tested the system with sample set of images and identified the issues raised while testing and found reasons for it. In this project we gave the recommendations for better utilization of Facial Recognition for Biometric Surveillance. In the Report we summarized with the latest developments in the Face recognition and problems which need to be solved in future