Biometric Security and Privacy
Opportunities & Challenges in The Big Data Era
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Includes advances on biometric recognition and fusion, such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning;
Addresses new challenges arising from big data, low-quality data and multi-spectral data;
Introduces new biometric topics such as acoustic biometrics, EOG/ECG, vein patterns, mobile biometrics and cyber security.
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Part of the Signal Processing for Security Technologies book series (SPST)