Robust 2D Ear Registration and Recognition Based on SIFT Point Matching

Bustard, John D. and Nixon, Mark (2008) Robust 2D Ear Registration and Recognition Based on SIFT Point Matching. In, BTAS 2008


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Significant recent progress has shown ear recognition to be a viable biometric. Good recognition rates have been demonstrated under controlled conditions, using manual registration or with specialised equipment. This paper describes a new technique which improves the robustness of ear registration and recognition, addressing issues of pose variation, background clutter and occlusion. By treating the ear as a planar surface and creating a homography transform using SIFT feature matches, ears can be registered accurately. The feature matches reduce the gallery size and enable a precise ranking using a simple 2D distance algorithm. When applied to the XM2VTS database it gives results comparable to PCA with manual registration. Further analysis on more challenging datasets demonstrates the technique to be robust to background clutter, viewing angles up to ±13 degrees and with over 20% occlusion.

Item Type: Conference or Workshop Item (Paper)
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 266782
Accepted Date and Publication Date:
29 September 2008Published
Date Deposited: 13 Oct 2008 10:20
Last Modified: 31 Mar 2016 14:13
Further Information:Google Scholar

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