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Dorsal Hand Vein Recognition Method Based on Multi-bit Planes Optimization Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Efficient 3D Ear Recognition System Based on Indexing

Authors : Qinping Zhu, Zhichun Mu

Published in: Biometric Recognition

Publisher: Springer International Publishing

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Abstract

We propose a system for time-efficient 3D ear biometrics. The system is composed of two primary components, namely: (1) an ear shape-based index; and (2) categorization using the index. We built an index tree by using the shape feature computed from measures of circularity, rectangularity, ellipticity, and triangularity, based on ear segmentation results and then perform a nearest neighbor search to obtain a gallery of ear images that are closest in shape to the probe subjects. For the categorization component, separate index trees are built out of the gallery of ear images by using a reduced depth feature space for each image. We utilize an indexing technique to perform a range query in a reduced depth feature space for ears that are closest in shape to the probe subject. Experiments on the benchmark database demonstrate that the proposed approach is more efficient compared to the state-of-the-art 3D ear biometric system.

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Metadata
Title
An Efficient 3D Ear Recognition System Based on Indexing
Authors
Qinping Zhu
Zhichun Mu
Copyright Year
2018
Book
Biometric Recognition

Print ISBN: 978-3-319-97908-3

Electronic ISBN: 978-3-319-97909-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-97909-0_54

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