Comparison of Genetic-based Feature Extraction Methods for Facial Recognition.

Abstract

In previous research, Shelton et al. presented a geneticbased method for evolving feature extractors for facial recognition. The technique presented evolved feature extractors that consisted of non-uniform, overlapping patches and did not cover the entire image. In this paper, we compare the use of non-uniform, overlapping patches with uniform, overlapping patches. Our results show a statistically significant performance improvement over the technique presented in Shelton’s previous paper.