Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1780935402876567552 |
---|---|
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 |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
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 |