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.
- ISBN13 9789811095153
- Publish Date 16 June 2018 (first published 4 November 2016)
- Publish Status Active
- Publish Country SG
- Imprint Springer Verlag, Singapore
- Edition Softcover reprint of the original 1st ed. 2016
- Format Paperback
- Pages 266
- Language English