Human Ear Recognition Based on LBP and PCA Feature Extraction

doi:10.3969/j.issn.1006-2475.2015.12.015

Abstract

Abstract:

A new human ear recognition method using Local Binary Pattern(LBP) and Principal Component Analysis(PCA) has been studied in this paper. This method can extract better

features from human ear images to apply to feature recognition, which combines the advantages of the global feature extraction in PCA with the local texture details extraction

in LBP. Compared with the original LBP and PCA methods, the ear recognition method has significant improvements in recognition rate.

Key words: human ear recognition, feature extraction, principal component analysis, local binary pattern

CLC Number:

TP391

TANG Wanbing， GUAN Yu， WANG Zihao， LI Chen. Human Ear Recognition Based on LBP and PCA Feature Extraction[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.12.015.

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