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Discriminative Learning In Biometrics

by David Zhang

2021-06-01 00:13:36

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This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discri... Read more
This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
 
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Book Details

ISBN9789811095153
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David Zhang
Author
David Zhang graduated in Computer Science from Peking University. He received his MSc and PhD in Computer Science from the Harbin Institute of Technology (HIT), in 1982 and 1985 respectively. From 198...

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