Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks

Author:

Liu Xiao-Zhang1,Yang Guan2

Affiliation:

1. School of Computer Science, Dongguan University of Technology, Dongguan 523808, China

2. School of Computer Science, Zhongyuan University of Technology, Zhengzhou 450007, China

Abstract

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.

Funder

Basic and Frontier Technology Research Project of Henan Province

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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