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There are tremendous need for personal verification and identification in internet security, electronic commerce and access control in recent years. Also, as the demands for security in many applications such as data protection and financial transaction become an increasingly relevant issues, the importance of biometrics technology is rapidly increasing. We explored face recognition system for person authentication applications by explicitly state the design decisions by introducing a generic modular PCA face recognition system. We designed implementations of each module, and evaluate the performance variations based on virtual galleries and probe sets. We perform various experiments and report results using equal error rates (EER) for verification scenario. In our experiment, we report performance results on 100 randomly generated image sets (galleries) of the same size.