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Face Verification System Using Optimum Nonlinear Composite Filter  

Lee, Ju-Min (Daegu University, Dept. of Information and Communication Engineering)
Yeom, Seok-Won (Daegu University, Dept. of Information and Communication Engineering)
Hong, Seung-Hyun (University of Connecticut, Dept. of Computer Science)
Publication Information
Abstract
This paper addresses a face verification method using the nonlinear composite filter. This face verification process can be simple and speedy because it does not require any reprocessing such as face detection, alignment or cropping. The optimum nonlinear composite filter is derived by minimizing the output energy due to additive noise and an input scene while maintaining the outputs of training images constant. The filter is equipped with the discrimination capability and the robustness to additive noise by minimizing the outputs of the input scene and the noise, respectively. We build the nonlinear composite filter with two training images and compare the filter with the conventional synthetic discriminant function (SDF) filter. The receiver operating characteristics (ROC) curves are presented as a metric for the performance evaluation. According to the experimental results the optimum nonlinear composite filter is shown to be a robust scheme for face verification in low resolution and noise environments.
Keywords
face recognition; face identification; nonlinear composite filter; low resolution; noise image;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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