Online 3D Ear Recognition by Combining Global and Local Features

Yahui Liu, Bob Zhang, Guangming Lu and David Zhang

PLOS ONE, 2016, vol. 11, issue 12, 1-19

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%.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0166204

DOI: 10.1371/journal.pone.0166204

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