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This paper proposes a module based distributed wireless face recognition system by integrating multiple kernel discriminant analysis with face recognition in wireless sensor networks. By maximizing the margin maximization criterion (MMC), we separately perform an iterative scheme for kernel parameter optimization for each module. The simulation on the FERET and CMU PIE face databases shows that our multiple kernel framework and the optimization procedure achieve high recognition performance, compared with single-kernel-based KDDA.