NDLI: General theory research on phase-encoded morphological correlation for face recognition

Content Provider	IEEE Xplore Digital Library
Author	Yu Yang Min FuHong Ni XiaoWu
Copyright Year	2010
Description	Author affiliation: School of Science Engineering, Nanjing University of Science and Technology, 210094, China (Ni XiaoWu) \|\| School of Electric & Automation Engineering, Nanjing Normal University, 210042, China (Yu Yang; Min FuHong)
Abstract	General morphological correlation(GMC) is proposed. Two kinds of modified phase-encoded general morphological correlation are proposed. The gray-scale image is decomposed into a set of binary image slices in certain decomposition method. One situation is that the joint power spectrum of each pair is binarized or phase-encoded and then summed, another situation is that the summation of the joint power spectrums of these pairs is binarized or phase-encoded. Computer-simulation results indicate that the modified algorithm can improve the discrimination capabilities with respect to the high similarity gray-scale face images.
Starting Page	312
Ending Page	316
File Size	266780
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583841
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Shape morphological corrrelation Computer simulation Transforms Gray-scale joint transform correlator Face Joints
Content Type	Text
Resource Type	Article

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