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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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Detalles Bibliográficos
Autores principales: Scharcanski, Jacob, Proença, Hugo, Du, Eliza
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-54080-6
http://cds.cern.ch/record/1666196
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author Scharcanski, Jacob
Proença, Hugo
Du, Eliza
author_facet Scharcanski, Jacob
Proença, Hugo
Du, Eliza
author_sort Scharcanski, Jacob
collection CERN
description 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.
id cern-1666196
institution Organización Europea para la Investigación Nuclear
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publishDate 2014
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spelling cern-16661962021-04-21T21:16:03Zdoi:10.1007/978-3-642-54080-6http://cds.cern.ch/record/1666196engScharcanski, JacobProença, HugoDu, ElizaSignal and image processing for biometricsEngineeringThis 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.Springeroai:cds.cern.ch:16661962014
spellingShingle Engineering
Scharcanski, Jacob
Proença, Hugo
Du, Eliza
Signal and image processing for biometrics
title Signal and image processing for biometrics
title_full Signal and image processing for biometrics
title_fullStr Signal and image processing for biometrics
title_full_unstemmed Signal and image processing for biometrics
title_short Signal and image processing for biometrics
title_sort signal and image processing for biometrics
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-54080-6
http://cds.cern.ch/record/1666196
work_keys_str_mv AT scharcanskijacob signalandimageprocessingforbiometrics
AT proencahugo signalandimageprocessingforbiometrics
AT dueliza signalandimageprocessingforbiometrics