Fisher Algorithm: Variations And Applications

This paper examines Fisherface (Linear Discriminant Analysis) methods, its different modifications as applied to feature extraction in face recognition. Researchers showed that Fisher algorithm, though it performs better than PCA, Eigenface and some other fundamental methods, computational complexity, enormous hardware resources usage are inhibitors to its implementation. Different versions or adaptations of Fisher algorithm had been developed, and applied to face recognition and validated using some of the available public face databases. If fisher algorithm and its various variations had so marvelously helped in face recognition, application of this effective dimensionality reduction method can be applied to research area of iris recognition system. This will in return enhance performance of biometric systems in its application to computer security and surveillance.