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Biometric Authentication: A Machine Learning Approach

S.Y. Kung, M.W. Mak, S.H. Lin




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 | #5667512 in Books |  2004-09-24 | Original language:English | PDF # 1 |  9.55 x1.42 x7.38l,1.10 | File type: PDF | 496 pages

||1 of 2 people found the following review helpful.| Too much information, not enough detail|By calvinnme|Any time you can pick up a used copy of a recently published technical book on an interesting topic at one-fourth of the retail price, you know there must be a problem. You would be right. This book tries to do three things at the same time and fails with at least two of its goals. It tries to talk about the business issues o|From the Back Cover||
  • A breakthrough approach to improving biometrics performance
  • Constructing robust information processing systems for face and voice recognition
  • Supporting high-performance data fusion in multimodal sys

    • A breakthrough approach to improving biometrics performance
    • Constructing robust information processing systems for face and voice recognition
    • Supporting high-performance data fusion in multimodal systems
    • Algorithms, implementation techniques, and application examples

    Machine learning: driving significant improvements in biometric performance

    As they improve, biometric authentication sy...

    You can specify the type of files you want, for your device.Biometric Authentication: A Machine Learning Approach   |  S.Y. Kung, M.W. Mak, S.H. Lin. A good, fresh read, highly recommended.

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