A facial recognition system is a computer-driven application for automatically identifying or verifying a person from a digital still or video image. It does that by comparing selected facial features in the live image and a facial database.
It is typically used for security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.
Popular recognition algorithms include eigenface, fisherface, the Hidden Markov model, and the neuronal motivated dynamic link matching. A newly emerging trend, claimed to achieve previously unseen accuracies, is three-dimensional face recognition. Another emerging trend uses the visual details of the skin, as captured in standard digital or scanned images. Tests on the FERET database, the widely used industry benchmark, showed that this approach is substantially more reliable than previous algorithms.[citation needed]
Sunday, July 29, 2007
Facial Recognition System
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