Face recognition is an important part of today?s emerging biometrics and video surveillance markets. As face recognition algorithms move from research labs to real world products power consumption and cost become critical issues and DSP-based implementations become attractive. Our goal in this research project was to evaluate the CPU and memory requirements of face recognition algorithms on the