A Genetic Programming-PCA Hybrid Face Recognition Algorithm

Abstract

Increasing demand for a fast and reliable facerecognition technology has obliged researchers to tryand examine different pattern recognition schemes. Butuntil now, Genetic Programming (GP), acclaimed patternrecognition, data mining and relation discoverymethodology, has been neglected in face recognitionliterature. This paper tries to apply GP to facerecognition. First Principal Component Analysis (PCA)is used to extract features, and then GP is used toclassify image groups. To further improve the results,a leveraging method is also used. It is shown thatalthough GP might not be efficient in its isolatedform, a leveraged GP can offer results comparable toother Face recognition solutions.