Discriminative Learning in Biometrics

Autor*innen

• David Zhang

Parameter

• 280 Seiten
• 10 Lesestunden

• Informatik & Programmierung

Mehr zum Buch

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.

• Sprache: Englisch
• Erscheinungsdatum: 2018
• Einband: Paperback