Signal and Image Processing for Biometrics

✍ Scribed by Jacob Scharcanski, Hugo Proença, Eliza Du (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2014
• Tongue: English
• Leaves: 336
• Series: Lecture Notes in Electrical Engineering 292
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
Data and Information Dimensionality in Non-cooperative Face Recognition....Pages 1-35
Remote Identification of Faces....Pages 37-56
Biometric Identification from Facial Sketches of Poor Reliability: Comparison of Human and Machine Performance....Pages 57-75
Recognizing Altered Facial Appearances Due to Aging and Disguise....Pages 77-106
Using Score Fusion for Improving the Performance of Multispectral Face Recognition....Pages 107-128
Unconstrained Ear Processing: What is Possible and What Must Be Done....Pages 129-190
Feature Quality-Based Unconstrained Eye Recognition....Pages 191-207
Speed-Invariant Gait Recognition....Pages 209-229
Quality Induced Multiclassifier Fingerprint Verification Using Extended Feature Set....Pages 231-254
Quality Measures for Online Handwritten Signatures....Pages 255-283
Human Tracking in Non-cooperative Scenarios....Pages 285-331

✦ Subjects

Signal, Image and Speech Processing; Biometrics; Security Science and Technology