Discriminative Learning in Biometrics

Autori

• David Zhang

Parametri

• 280 pagine
• 10 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

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.

Lingua: Inglese

Pubblicato: 2018

(In brossura)