Abstract

In this paper, we investigate the performance of two feature extraction techniques on palm prints images. The first is the Local Binary Pattern (LBP) feature extraction technique. The second is the Genetic and Evolutionary Feature Extraction (GEFE) technique. A set of feature extractors are evolved by GEFE and the average and best performance of the extractors are compared to the best scheme of LBP. The techniques are tested on left hand, right hand and combined hand datasets. The results show varying performances between the extraction techniques, but the GEFE approach is promising.

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