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Biometric Recognition Using 3D Ear Shape
August 2007 (vol. 29 no. 8)
pp. 1297-1308
Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and algorithms have not necessarily handled problems caused by hair and earrings. We present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recognition. We evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.8 percent for an identification scenario and an equal error rate of 1.2 percent for a verification scenario on a database of 415 subjects and 1,386 total probes.
Index Terms:
Biometrics,Ear,Shape,Image recognition,Image segmentation,Face recognition,Error analysis,Skin,Active contours,Humans,iterative closest point.,Biometrics,ear biometrics,3D shape,skin detection,curvature estimation,active contour
Citation:
"Biometric Recognition Using 3D Ear Shape," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1297-1308, Aug. 2007, doi:10.1109/TPAMI.2007.1067
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