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Signal and Image Processing for Biometrics

Author: Jacob Scharcanski; Hugo Proença; Yingzi Du
Publisher: Heidelberg : Springer, 2014.
Series: Lecture notes in electrical engineering, v. 292.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Ebook
Additional Physical Format: Print version:
Signal and Image Processing for Biometrics
(OCoLC)868042155
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jacob Scharcanski; Hugo Proença; Yingzi Du
ISBN: 9783642540806 3642540805
OCLC Number: 871207251
Description: 1 online resource.
Contents: Data and Information Dimensionality in Non-Cooperative Face Recognition --
Remote Identification of Faces --
Recognizing Altered Facial Appearances Due to Aging and Disguise --
Using Score Fusion for Improving the Performance of Multispectral Face Recognition --
Unconstrained ear processing --
Feature Quality-based Unconstrained Eye Recognition --
Speed-invariant Gait Recognition --
Quality Induced Multi classifier Fingerprint Verification using Extended Feature Set --
Quality Measures for Online Handwritten Signatures --
Human tracking in non-cooperative scenarios.
Series Title: Lecture notes in electrical engineering, v. 292.
Responsibility: Jacob Scharcanski, Hugo Proença, Eliza Du, editors.
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From the book reviews: "This book (consisting of 11 chapters) covers the state-of-the-art research on signal and image processing techniques used to support biometric recognition. ... This book Read more...

 
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