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Face Recognition Using Histogram-based Features in Spatial and Frequency Domains

Authors:
Qiu Chen
Koji Kotani
Feifei Lee
Tadahiro Ohmi

Keywords: Face recognition; Vector quantizaiton (VQ); Local Binary Patterns (LBP); DCT coefficients

Abstract:
Previously, we proposed an efficient algorithm using vector quantization (VQ) histogram for facial image recognition in low-frequency DCT domains. In this paper, we newly utilize Local Binary Pattern (LBP) histogram in spatial domain. These two histograms, which contain both spatial and frequency domain information of a facial image, are utilized as a very effective personal feature. Publicly available AT&T database is used for the evaluation of our proposed algorithm, which is consisted of 40 subjects with 10 images per subject containing variations in lighting, posing, and expressions. It is demonstrated that face recognition using combined histogram-based features can achieve much higher recognition rate.

Pages: 53 to 57

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-320-9

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014