Performance versus Computational Complexity Trade-Off in Face Verification

We discuss the implementation of a face verification system on smart card and study the trade-off between performance and computational complexity. In order to establish the system limitations, a study was performed on BANCA and XM2VTS databases. The results of the experiments performed show that the choice of a fixed precision data type does not affect system performance very much but can speed up the verification process. Moreover, the use of less than 8 bits per pixel gray-scale image resolution does not necessarily result in a degradation of system performance. We show that, for both databases, image resolution can be reduced without degrading system performance. However, the actual optimal settings will depend on application scenario.