Sparse Representation for Video-Based Face Recognition

With the ever-increasing security threats, the problem of invulnerable authentication systems is becoming more acute. Traditional means of securing a facility essentially depend on strategies corresponding to “what you have” or “what you know”, for example smart cards, keys and passwords. These systems however can easily be fooled. Passwords for example, are difficult to remember and therefore people tend to use the same password for multiple facilities making it more susceptible to hacking. Similarly, cards and keys can easily be stolen or forged. A more inalienable approach is therefore to go for strategies corresponding to “what you are” or “what you exhibit” i.e. biometrics. Although the issue of “liveliness” has recently been highlighted due to the advancement in digital media technology, biometrics arguably remain the best choice. Among the other available biometrics, such as speech, iris, fingerprints, hand geometry and gait, face seems to be the most natural choice (Li & Jain, 2005). It is nonintrusive, requires a minimum of ABSTRACT