Overview
- Offers complete coverage of human ear recognition
- Describes complete human recognition systems using 3D ear biometrics
- Includes new biometrics, new application and results on the latest available databases
- At the frontier of research on 3D ear-based human recognition
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
Biometrics deal with recognition of individuals based on their physiological or behavioural characteristics. Researchers have done extensive studies on biometrics such as fingerprint, face, palm print, iris and gait. Ear, a viable new class of biometrics, has certain advantages over face and fingerprint, which are the two most common biometrics in both academic research and industrial applications.
This book explores all aspects of 3D ear recognition: representation, detection, recognition, indexing and performance prediction. It uses large datasets to quantify and compare the performance of various techniques.
Features and topics include: Ear detection and recognition in 2D image - 3D object recognition and 3D biometrics - 3D ear recognition - Performance comparison and prediction.
The techniques discussed will be of great interest to researchers, developers and decision makers who are involved in robust human recognition by computer for a large number of practical applications.
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Keywords
Table of contents (9 chapters)
Reviews
From the reviews:
"‘Human ear [recognition] is a new class of relatively stable biometrics,’ that has drawn the attention of not only researchers, but also forensics experts, criminologists, and security experts … . the book will be of great interest to researchers … . I recommend reading the book as 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)
Authors and Affiliations
Bibliographic Information
Book Title: Human Ear Recognition by Computer
Authors: Bir Bhanu, Hui Chen
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84800-129-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-128-2Published: 25 June 2008
Softcover ISBN: 978-1-84996-733-4Published: 21 October 2010
eBook ISBN: 978-1-84800-129-9Published: 26 February 2010
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVIII, 206
Number of Illustrations: 85 b/w illustrations
Topics: Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Biometrics, Image Processing and Computer Vision, Computer Graphics, The Computing Profession