Biometric authentication techniques are more consistent and efficient than
conventional authentication techniques and can be used in monitoring,
transaction authentication, information retrieval, access control, forensics,
etc. In this paper, we have presented a detailed comparative analysis between
Principle Component Analysis (PCA) and Independent Component Analysis (ICA)
which are used for feature extraction on the basis of different Artificial
Neural Network (ANN) such as Back Propagation (BP), Radial Basis Function (RBF)
and Learning Vector Quantization (LVQ).