With the current perceived world security situation, governments as well as businesses require reliable methods to accurately identify individuals, without overly infringing on rights to privacy or requiring significant compliance on the part of the individual being recognized. Person identification systems based on biometrics have been used for a significant period for law enforcement and secure access. Both fingerprint and iris recognition systems are proven as reliable techniques, however, the data sensing methods currently in use in both modalities limit their versatility [2]. Although face recognition technology is not as mature as other biometric verification methods, it is the subject of intensive research and may provide an acceptable solution to some of the problems mentioned. As it is the primary method used by humans to recognize each other, and because an individual’s face image is already stored in numerous locations, it is seen as a more acceptable method of automatic recognition [3].A robust face recognition solution has many potential applications. Business organizations are aware of the ever-increasing need for security—this is mandated both by their own desire to protect property and processes, but also by their workforce’s increasing demands for workplace safety and security [4]. Local law enforcement