Abstract:
We propose a biometric system using two
human recognition techniques, both of them using the
same kind of supervised classifier. The first one
represents a Eigenface based facial recognition
approach, while the second is a text-independent
speaker recognition method. A minimum mean
distance classification technique is provided for person
identification. Threshold-based verification approaches
are used by both recognition methods.
