A Survey on Comparison of Face Recognition Algorithms

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Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

The identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing power. In this study we will present performance aspect of algorithms Eigenfaces, Fisherfaces, and Local Binary Pattern Histograms in different development platforms: Arm and Intel processors.

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Keywords

Embedded, Face Recognition, Eigenfaces, Fisherface, LBPH

Turkish CoHE Thesis Center URL

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Volume

Issue

Start Page

249

End Page

251