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Online 3D Ear Recognition by Combining Global and Local Features.

ABSTRACT: The 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%.

SUBMITTER: Liu Y

PROVIDER: S-EPMC5147820 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Online 3D Ear Recognition by Combining Global and Local Features.

Liu Yahui Y Liu Yahui Y Zhang Bob B Lu Guangming G Zhang David D

PloS one 20161209 12

The 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 ...[more]

PMID: 27935955

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