Abstract
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.
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Bourlai, T., Messer, K., Kittler, J. (2004). Performance versus Computational Complexity Trade-Off in Face Verification. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_24
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DOI: https://doi.org/10.1007/978-3-540-25948-0_24
Publisher Name: Springer, Berlin, Heidelberg
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