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.
- ISBN:
- 9789811020551
- 9789811020551
-
Category:
- Pattern recognition
- Format:
- Hardback
- Publication Date:
-
07-12-2016
- Publisher:
- Springer Verlag, Singapore
- Country of origin:
- Singapore
- Pages:
- 266
- Dimensions (mm):
- 235x155x18mm
- Weight:
- 5.44kg
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