Biometrics deals with recognition of individuals based on their
physiological or behavioral characteristics. The human ear is a new
feature in biometrics that has several merits over the more common
face, fingerprint and iris biometrics. Unlike the fingerprint and
iris, it can be easily captured from a distance without a fully
cooperative subject, although sometimes it may be hidden with hair,
scarf and jewellery. Also, unlike a face, the ear is a relatively
stable structure that does not change much with the age and facial
expressions.
Human Ear Recognition by Computer is the first book on the
automatic recognition of human ears. It presents an entire range of
computational algorithms for recognition of humans by their ears.
These algorithms have been tested and validated on the largest
databases that are available today. Specific algorithms addressed
include:
a [ Ear helix/anti-helix based representation
a [ Global-to-local registration
a [ Ear recognition using helix/anti-helix representation
a [ Ear recognition using a new local surface patch
representation
a [ Efficient ear indexing and recognition
a [ Performance prediction for 3D ear recognition
a [ Generality and applications in computer vision and pattern
recognition
This state-of-the-art research reference explores all aspects of
3D ear recognition, including representation, detection,
recognition, indexing and performance prediction. It has been
written for a professional audience of both researchers and
practitioners within industry, and is also ideal as aninformative
text for graduate students in computer science and engineering.
Professor Bir Bhanu has been director of the Visualization and
Intelligent Systems Laboratory (at the University of California at
Riverside) since 1991 and serves as the founding Director for the
Center for Research in Intelligent Systems. He also has
considerable experience working within industry and is the
successful author of several books. He is a Fellow of IEEE, AAAS,
IAPR, SPIE and was a Senior Fellow at Honeywell Inc.
Dr. Hui Chen works alongside Professor Bhanu and has worked for
Siemens Medical solutions and the Chinese Academy of Sciences.
General
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