UM
Online 3D ear recognition by combining global and local features
Liu Y.2; Zhang B.1; Lu G.2; Zhang D.2
2016-12-01
Source PublicationPLoS ONE
ISSN19326203
Volume11Issue:12
AbstractThe three-dimensional shape of the ear has been proven to be a stable candidate for biometric authentication because of its desirable properties such as universality, uniqueness, and permanence. In this paper, a special laser scanner designed for online three-dimensional ear acquisition was described. Based on the dataset collected by our scanner, two novel feature classes were defined from a three-dimensional ear image: the global feature class (empty centers and angles) and local feature class (points, lines, and areas). These features are extracted and combined in an optimal way for three-dimensional ear recognition. Using a large dataset consisting of 2,000 samples, the experimental results illustrate the effectiveness of fusing global and local features, obtaining an equal error rate of 2.2%.
DOI10.1371/journal.pone.0166204
URLView the original
Language英語
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Harbin Institute of Technology
Recommended Citation
GB/T 7714
Liu Y.,Zhang B.,Lu G.,et al. Online 3D ear recognition by combining global and local features[J]. PLoS ONE,2016,11(12).
APA Liu Y.,Zhang B.,Lu G.,&Zhang D..(2016).Online 3D ear recognition by combining global and local features.PLoS ONE,11(12).
MLA Liu Y.,et al."Online 3D ear recognition by combining global and local features".PLoS ONE 11.12(2016).
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