Wow! eBook
Signal and Image Processing for Biometrics Softcover reprint of the original 1st ed. 2014 Edition
Author(s): Jacob Scharcanski (Editor), Hugo Proença (Editor), Eliza Du (Editor)
- Publisher: Springer
- Publication Date: September 3, 2016
- Edition: Softcover reprint of the original 1st ed. 2014
- Language: English
- Print length: 341 pages
- ISBN-10: 3662509687
- ISBN-13: 9783662509685
Book 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.
Editorial Reviews
Review
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 offers a good introduction to junior graduate students who are new to the field, and is also a good comprehensive reference for experienced practitioners.” (Mingchen Gao, Computing Reviews, August, 2014)
From the Back Cover
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.
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.
