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Proceedings Paper

ICP-based approaches for 3D ear recognition
Author(s): Ping Yan; Kevin W. Bowyer; Kyong Jin Chang
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Paper Abstract

We present results of the largest experimental investigation of 3D ear biometrics to date. ICP-based approaches are carefully explored, and the best rank one recognition rate achieves 98.8%. Only 4 cases out of 302 are incorrectly matched. This result is encouraging in that it suggests the uniqueness of the human ear and its potential applicability as a biometric.

Paper Details

Date Published: 28 March 2005
PDF: 10 pages
Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.603154
Show Author Affiliations
Ping Yan, Univ. of Notre Dame (United States)
Kevin W. Bowyer, Univ. of Notre Dame (United States)
Kyong Jin Chang, Univ. of Notre Dame (United States)


Published in SPIE Proceedings Vol. 5779:
Biometric Technology for Human Identification II
Anil K. Jain; Nalini K. Ratha, Editor(s)

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