Human Ear Recognition by Computer (Advances in Computer Vision and Pattern Recognition) [Paperback] review

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From the reviews: "‘Human ear [recognition] is a whole new class of relatively stable biometrics,’ that has drawn the eye of not only researchers, but also forensics experts, criminologists, and security experts … . the novel is planning to be appealing to researchers … . I recommend reading the book like a stepping stone to further research work on human ear recognition, from the viewpoints of both researchers and forensics experts." (J. Myerson, ACM Computing Reviews, December, 2008)

Biometrics deals with recognition of men and women based on his or her 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 may be easily captured from the distance without a fully cooperative subject, although it sometimes could be hidden with hair, scarf and jewellery. Also, unlike a face, the ear is a relatively stable structure that doesn't change much while using age and facial expressions. Human Ear Recognition by Computer may be the first book for the automatic recognition of human ears. It presents a whole variety of computational algorithms for recognition of humans by their ears. These algorithms are already tested and validated for the largest databases which are available today. Specific algorithms addressed include: • Ear helix/anti-helix based representation • Global-to-local registration • Ear recognition using helix/anti-helix representation • Ear recognition using a new local surface patch representation • Efficient ear indexing and recognition • Performance prediction for 3D ear recognition • 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 continues to be written for a professional audience of both researchers and practitioners within industry, and it is also ideal as a possible informative 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 to the Center for Research in Intelligent Systems. Younger crowd has considerable experience working within industry and could be the successful author of various books. He can be a Fellow of IEEE, AAAS, IAPR, SPIE and was obviously a Senior Fellow at Honeywell Inc. Dr. Hui Chen works alongside Professor Bhanu and contains worked for Siemens Medical solutions and the Chinese Academy of Sciences.