Human Ear Recognition by Computer
Language: English
Published by Springer London, 2008
Series: Book 11 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Used
Condition: Used - Fine
£ 31.23
Quantity: 1 available
Add to basketItem description from seller
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…
Seller Inventory # 3977130/202
- Title
- Human Ear Recognition by Computer
- Author
- Hui Chen, Bir Bhanu
- Publisher
- Springer London
- Publication year
- 2008
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1848001282
- ISBN 13
- 9781848001282
- Series
- Book 11 of 86: Advances in Computer Vision and Pattern Recognition
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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