Biometric Recognition Using 3D Ear Shape

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...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2007-08, Vol.29 (8), p.1297-1308
Main Authors: Ping Yan, Bowyer, K.W.
Format: Article
Language:English
Subjects:
3D shape
active contour
Active contours
Applied sciences
Artificial Intelligence
Biometrics
Biometry
Computer science
control theory
systems
Computer systems and distributed systems. User interface
curvature estimation
Ear
ear biometrics
Ear, External - anatomy & histology
Error analysis
Exact sciences and technology
Face recognition
Female
Humans
Image recognition
Image segmentation
Imaging, Three-Dimensional
iterative closest point
Male
Models, Anatomic
Pattern Recognition, Automated
Pattern recognition. Digital image processing. Computational geometry
Preprocessing
Recognition
Shape
Shape recognition
Skin
skin detection
Software
Three dimensional
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Summary: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.
ISSN:0162-8828
1939-3539
2160-9292
DOI:10.1109/TPAMI.2007.1067