Signal and Image Processing for Biometrics

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Scharcanski, Jacob (Editor), Proença, Hugo (Editor), Du, Eliza (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Series:Lecture Notes in Electrical Engineering, 292
Subjects:
Online Access:Full Text via HEAL-Link
Description
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 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.
Physical Description:X, 331 p. 150 illus., 91 illus. in color. online resource.
ISBN:9783642540806
ISSN:1876-1100 ;