3D pure ear extraction and recognition

Authors:
Jiangwei Wu;Zhichun Mu;Kai Wang
Affiliations:
School of Automation and Electrical Engineering, University of Science and Techonology Beijing, Beijing, China;School of Automation and Electrical Engineering, University of Science and Techonology Beijing, Beijing, China;School of Automation and Electrical Engineering, University of Science and Techonology Beijing, Beijing, China
Venue:
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Year:
2012

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Abstract

In this paper, we present a complete ear recognition system. A new edge-based approach is proposed to extract the pure ear automatically, using both the edge information form the intensity images and depth images. Once the pure ear is extracted, the well-known ICP algorithm is applied for recognition. We achieve a Rank-1 recognition rate of 98.8% for an identification scenario and an equal error rate of 2.1% for a verification scenario on a database of 415 subjects.