Human face recognition system using modified PCA algorithm and ARM platform

摘要

In the recent two decades, user authentication has become a popular issue of identity management. Fingerprints, DNA and the human face are distinct organism characteristics usually used in user identification. In this paper, the human face is the main subject for authentication. Because the ARM system provides strong computation ability, various interfaces such as camera, mass storage, etc. It was used in this study. The main recognizer algorithm — Principal Component Analysis (PCA) is completely accomplished on the ARM system. Finally, an ARM-based human face recognition platform is implemented in this study.