Biometrics-based recognition systems offer many benefits over
traditional authentication approaches. However, such systems raise
new challenges related to personal data protection.
This important text/reference presents the latest secure and
privacy-compliant techniques in automatic human recognition.
Featuring viewpoints from an international selection of experts in
the field, the comprehensive coverage spans both theory and
practical implementations, taking into consideration all ethical
and legal issues.
Topics and features: presents a unique focus on novel approaches
and new architectures for unimodal and multimodal template
protection; examines signal processing techniques in the encrypted
domain, security and privacy leakage assessment, and aspects of
standardization; describes real-world applications, from face and
fingerprint-based user recognition, to biometrics-based electronic
documents, and biometric systems employing smart cards; reviews the
ethical implications of the ubiquity of biometrics in everyday
life, and its impact on human dignity; provides guidance on best
practices for the processing of biometric data within a legal
framework.
This timely and authoritative volume is essential reading for
all practitioners and researchers involved in biometrics-based
automatic human recognition. Graduate students of computer science
and electrical engineering will also find the text to be an
invaluable practical reference.
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