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Author Beom-Seok Oh ♦ Kar-Ann Toh ♦ Teoh, A.B.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Biochemistry
Subject Keyword Training ♦ Biometrics ♦ Error analysis ♦ Image edge detection ♦ Feature extraction ♦ Face ♦ Principal component analysis
Abstract In this paper, we propose to adopt an entry-wise Hadamard-Schur (HS) product to extract facial information directly from raw face image pixels. With the goal of extracting relevant pixel features from each image, four different HS projection matrices which consist of directional binary patterns are proposed. Subsequently, the match score outputs from these four HS projections are fused via a total error rate minimization for performance enhancement. Our empirical experiments show encouraging performance in terms of verification accuracy.
Description Author affiliation: School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea (Beom-Seok Oh; Kar-Ann Toh; Teoh, A.B.J.)
ISBN 9781424475810
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-09-27
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424475827
Size (in Bytes) 512.31 kB
Page Count 6
Starting Page 1
Ending Page 6


Source: IEEE Xplore Digital Library