An Effective 3D Ear Acquisition System

Yahui Liu; Guangming Lu; David Zhang

doi:10.1371/journal.pone.0129439

An Effective 3D Ear Acquisition System

PLoS One. 2015 Jun 10;10(6):e0129439. doi: 10.1371/journal.pone.0129439. eCollection 2015.

Authors

Yahui Liu¹, Guangming Lu¹, David Zhang²

Affiliations

¹ Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
² Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

Abstract

The human ear is a new feature in biometrics that has several merits over the more common face, fingerprint and iris biometrics. It can be easily captured from a distance without a fully cooperative subject. Also, the ear has a relatively stable structure that does not change much with the age and facial expressions. In this paper, we present a novel method of 3D ear acquisition system by using triangulation imaging principle, and the experiment results show that this design is efficient and can be used for ear recognition.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Biometric Identification / instrumentation*
Biometric Identification / methods
Ear / anatomy & histology*
Humans
Image Interpretation, Computer-Assisted / instrumentation
Image Interpretation, Computer-Assisted / methods
Imaging, Three-Dimensional / instrumentation
Imaging, Three-Dimensional / methods*
Models, Anatomic

Grants and funding

The work is supported by the GRF fund from the HKSAR Government, the central fund from Hong Kong Polytechnic University, the NSFC fund (61332011, 61020106004, 61272292, 61271344), Shenzhen Fundamental Research fund (JCYJ20130401152508661), and Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.