Signal and Image Processing for Biometrics
Language: English
Published by Springer, 2016
Series: Book 119 of 548 - Lecture Notes in Electrical Engineering
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 99.60
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.…
Seller Inventory # 9783662509685
- Title
- Signal and Image Processing for Biometrics
- Author
- Jacob Scharcanski
- Publisher
- Springer
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3662509687
- ISBN 13
- 9783662509685
- Item weight
- 522 grams
- Dimensions
- 235x155x19 mm
- Series
- Book 119 of 548: Lecture Notes in Electrical Engineering
"Synopsis" may belong to another edition of this title.
From the Back Cover
The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.
"About the title" may belong to another edition of this title.
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