Ear biometrics in computer vision

A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over time of the ear, and in practice through the implementation...

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Bibliographic Details
Published inProceedings 15th International Conference on Pattern Recognition. ICPR-2000 Vol. 2; pp. 822 - 826 vol.2
Main Authors Burge, M., Burger, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Biometrics
Computer vision
Ear
Face detection
Fingerprint recognition
Hair
Image segmentation
Iris
Machine vision
Shadow mapping
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ISBN0769507506
9780769507507
ISSN1051-4651
DOI10.1109/ICPR.2000.906202

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Summary:A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over time of the ear, and in practice through the implementation of a computer vision based system. Each subject's ear is modeled as an adjacency graph built from the Voronoi diagram of its curve segments. We introduce a novel graph matching based algorithm for authentication which takes into account the erroneous curve segments which can occur due to changes (e.g., lighting, shadowing, and occlusion) in the ear image. This class of biometrics is ideal for passive identification because the features are robust and can be reliably extracted from a distance.
ISBN:0769507506
9780769507507
ISSN:1051-4651
DOI:10.1109/ICPR.2000.906202