Signal and Image Processing for Biometrics

Signal and Image Processing for Biometrics

Jacob Scharcanski, Hugo Proença, Eliza Du (eds.)
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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.

카테고리:
년:
2014
판:
1
출판사:
Springer-Verlag Berlin Heidelberg
언어:
english
페이지:
331
ISBN 10:
3642540805
ISBN 13:
9783642540806
시리즈:
Lecture Notes in Electrical Engineering 292
파일:
PDF, 15.24 MB
IPFS:
CID , CID Blake2b
english, 2014
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