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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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Cross Disciplinary Biometric Systems (Hardcover, 2012 ed.)
Loot Price: R4,590
Discovery Miles 45 900
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Cross Disciplinary Biometric Systems (Hardcover, 2012 ed.)
Series: Intelligent Systems Reference Library, 37
Expected to ship within 10 - 15 working days
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Cross disciplinary biometric systems help boost the performance of
the conventional systems. Not only is the recognition accuracy
significantly improved, but also the robustness of the systems is
greatly enhanced in the challenging environments, such as varying
illumination conditions. By leveraging the cross disciplinary
technologies, face recognition systems, fingerprint recognition
systems, iris recognition systems, as well as image search systems
all benefit in terms of recognition performance. Take face
recognition for an example, which is not only the most natural way
human beings recognize the identity of each other, but also the
least privacy-intrusive means because people show their face
publicly every day. Face recognition systems display superb
performance when they capitalize on the innovative ideas across
color science, mathematics, and computer science (e.g., pattern
recognition, machine learning, and image processing). The novel
ideas lead to the development of new color models and effective
color features in color science; innovative features from wavelets
and statistics, and new kernel methods and novel kernel models in
mathematics; new discriminant analysis frameworks, novel similarity
measures, and new image analysis methods, such as fusing multiple
image features from frequency domain, spatial domain, and color
domain in computer science; as well as system design, new
strategies for system integration, and different fusion strategies,
such as the feature level fusion, decision level fusion, and new
fusion strategies with novel similarity measures.
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